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2015
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. C Li, Q Zhao, J Li, A Cichocki, L Guo Multi-tensor Completion with Common Structures. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, (2015). [bibtex]


  2. A-H Phan, P Tichavsky, A Cichocki Low Rank Tensor Deconvolution. In: Proceedings of 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2169-2173, (2015). [bibtex]


  3. A-H Phan, P Tichavsky, A Cichocki A fast automatic rank determination algorithm for noisy lowrank matrix completion. In: Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2015), (2015). [bibtex]


  4. G Zhou, A Cichocki, D Mandic Common Components Analysis via Linked Blind Source Separation. In: Proceedings of 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2150-2154, (2015). [bibtex]


2014
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. C Caiafa, A Cichocki Fast and Stable Recovery of Approximately Low Mutilinear Rank Tensors from Multi-way Compressive Measurements. In: Proceedings of 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), (2014). [bibtex]


  2. G Cui, Q Zhao, A Cichocki, J Cao Patients' Consciousness Analysis using Dynamic Approximate Entropy and MEMD method. In: Proceedings of the 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1-5, (2014). [bibtex]


  3. G Cui, Q Zhao, J Cao, A Cichocki Hybrid-BCI: Classification of Auditory and Visual Related Potentials. In: Proceedings of SCIS&ISIS2014, 297-300, (2014). [bibtex]


  4. J Jin, J Dauwels, F-B Vialatte, A Cichocki Synchrony Analysis of Paroxysmal Gamma Waves in Meditation EEG. In: Proceedings of 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 4736-4740, (2014). [bibtex]


  5. C Li, L Guo, A Cichocki Multi-tensor Completion for Estimating Missing Values in Video Data. In: Proceedings of SCIS&ISIS2014, 1339-1342, (2014). [bibtex]


  6. A-H Phan, P Tichavsky, A Cichocki Deflation Method for CANDECOMP/PARAFAC Tensor Decomposition. In: Proceedings of 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 6786-6790, (2014). [bibtex]


  7. A-H Phan, A Cichocki, P Tichavsky On Fast Algorithms for Orthogonal Tucker Decomposition. In: Proceedings of 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 6816-6820, (2014). [bibtex]


  8. T Yokota, A Cichocki Multilinear tensor rank estimation via sparse Tucker decomposition. In: Proceedings of SCIS&ISIS2014, 478-483 (IEEE CISJ Young Researcher Award 2014), (2014). [bibtex]


  9. Q Zhao, G Zhou, L Zhang, A Cichocki Tensor-variate Gaussian Processes Regression and its Application to Video Surveillance. In: Proceedings of 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 1274-1278, (2014). [bibtex]


2013
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  1. A Brockmeier, J Principe, A-H Phan, A Cichocki A greedy algorithms for model selection of tensor decompositions. In: Machine Learning for Signal Processing, (draft) ICASSP, (2013). [bibtex]


  2. A Cichocki Era of Big Data Processing: A New Approach via Tensor Networks and Tensor Decompositions. In: International Workshop on Smart Info-Media Systems in Asia (SISA-2013), (2013). [bibtex]


  3. A Cichocki Tensor Networks for Big Data Analytic and Large-Scale Optimization Problems. In: Second Int. Conference on Engineering and Computational Schematics (ECM2013), (2013). [bibtex]


  4. M Elgendi, B Rebsamen, A Cichocki, F Vialatte, J Dauwels Real-Time Wireless Sonification of Brain Signals. In: Proceedings of the Third International Conference on Cognitive Neurodynamics 2011, 175-181, (2013). [bibtex]


  5. J Li, Z Struzik, L Zhang, A Cichocki Spectral Power Estimation for Unevenly Spaced Motor Imagery Data. In: Proceedings of International Conference on Neural Processing (ICONIP), 168-175, (2013). [bibtex]


  6. A-H Phan, A Cichocki, P Tichavsky, R Zdunek, S Lehky From Basis Components to Complex Structural Patterns. In: Machine Learning for Signal Processing, (draft) ICASSP, (2013). [bibtex]


  7. A-H Phan, A Cichocki, P Tichavsky, G Luta, A Brockmeier Tensor completion through multiple Kronecker product decomposition. In: Machine Learning for Signal Processing, (draft) ICASSP, (2013). [bibtex]


  8. P Tichavsky, A-H Phan, A Cichocki A Further Improvement of a Fast Damped Gauss-Newton Algorithm for CANDECOMP-PARAFAC Tensor Decomposition. In: Proceedings of 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 5964-5968, (2013). [bibtex]


  9. R Zdunek, A-H Phan, A Cichocki GNMF with Newton-Based Methods. In: Proceedings of 23rd International Conference on Artificial Neural Networks (ICANN), 90-97, (2013). [bibtex]


  10. Q Zhao, G Zhou, T Adali, L Zhang, A Cichocki Kernel-based tensor Partial Least Squares for reconstruction of limb movements. In: Machine Learning for Signal Processing, (draft) ICASSP, (2013). [bibtex]


  11. Q Zhao, L Zhang, A Cichocki A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data. In: Proceedings of the 27th AAAI Conference on Artificial Intelligence, 1041-1047, (2013). [bibtex]


2012
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  1. C Caiafa, A Cichocki Block Sparse Representations of Tensors Using Kronecker Bases. In: Proceedings of 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2709-2712, (2012). [bibtex]


  2. F Cong, G Zhou, Q Zhao, Q Wu, A Nandi, T Ristaniemi, A Cichocki Sequential Nonnegative Tucker Decomposition on Multi-Way Array of Time-Frequency Transformed Event-Related Potentials. In: Proceedings of IEEE Workshop on Machine Learning for Signal Processing, MLSP, (2012). [bibtex]


  3. F Cong, A Nandi, Z He, A Cichocki, T Ristaniemi Fast and Effective Model Order Selection Method to Determine the Number of Sources in a Linear Transformation Model. In: Proceedings of the 2012 European Signal Processing Conference, EUSIPCO-2012, 1870-1874, (2012). [bibtex]


  4. E Gallego-Jutgla, M Elgendi, F Vialatte, J Sole-Casals, A Cichocki, C Latchoumane, J Jeong, J Dauwels Diagnosis of Alzheimer's Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands. In: Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4266-4270, (2012). [bibtex]


  5. E Gallego-Jutgla, T Rutkowski, A Cichocki, J Sole-Casals EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition. In: Proceedings of IJCCI 2012. 4th International Joint Conference on Computational Intelligence, IJCCI 2012, 670-676, (2012). [bibtex]


  6. H Higashi, A Cichocki, T Tanaka Regularization using geometric information between sensors capturing features from brain signals. In: Proceedings of 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, 721-724, (2012). [bibtex]


  7. K Hiyoshi, M Kawasaki, T Yokota, H Bakardjian, H Fukuyama, F Vialatte, A Cichocki EEG Beta Range Dynamics and Emotional Judgments of Face and Voices. In: Proceedings of the IJCCI 2012-International Joint Conference on Computation Intelligence, 738-740, (2012). [bibtex]


  8. Z Koldovsky, A-H Phan, P Tichavsky, A Cichocki A treatment of EEG motor imagery data by underdetermined blind source separation. In: Proceedings of 20th European Signal Processing Conference (EUSIPCO), 1484-1488, (2012). [bibtex]


  9. A Onishi, A-H Phan, K Matsuoka, A Cichocki Tensor classification for P300-based brain computer interface. In: Proceedings of 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, 581-584, (2012). [bibtex]


  10. A-H Phan, P Tichavsky, A Cichocki, Z Koldovsky Low-Rank Blind Nonnegative Matrix Deconvolution. In: Proceedings of 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1893-1896, (2012). [bibtex]


  11. J Rokicki, K Hiyoshi, F Vialatte, A Usinskas, A Cichocki Early Alzheimer's Disease Progression Detection using Multi-subnetworks of the Brain. In: Proceedings of the IJCCI 2012-International Joint Conference on Computation Intelligence, 684-691, (2012). [bibtex]


  12. Q Zhao, L Zhang, J Cao, A Cichocki Higher-order PLS for Classification of ERPs with Application to BCIs. In: Proceedings of the 2012 Asia-Pacific Signal and Information Processing Association Annual Summit, 1-5, (2012). [bibtex]


  13. G Zhou, Z He, Y Zhang, Q Zhao, A Cichocki Canonical Polyadic Decomposition: From 3-way to N-way. In: Proceeding of the 8th International Conference on Computational Intelligence and Security (CIS-2012), (2012). [bibtex]


2011
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  1. Z Cai, H Terasawa, S Makino, T Yamada, T Rutkowski Spatial Location and Sound Timbre as Informative Cues in Auditory BCI/BMI - Electrodes Position Optimization for Brain Evoked Potential Enhancement. In: Proceedings of the 2011 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, online, (2011). [bibtex]


  2. J Dauwels, K Srinivasan, R Ramasubba, A Cichocki Multi-channel EEG Compression based on Matrix and Tensor Decompositions. In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, 629-632, (2011). [bibtex]


  3. E Gallego-Jutgla, J Sole-Casals, T Rutkowski, A Cichocki Application of multivariate empirical mode decomposition for cleaning eye blinks artifacts from eeg signals. In: Proceedings of IJCCI 2011, 3th International Joint Conference on Computational Intelligence, IJCCI (NCTA) 2011, 455-460, (2011). [bibtex]


  4. H Higashi, T Tanaka Classification by Weighting for Spatio-frequency Components of EEG Signal during Motor Imagery. In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, 585-588, (2011). [bibtex]


  5. H Higashi, T Rutkowski, Y Washizawa, A Cichocki, T Tanaka EEG Auditory Steady State Responses Classification for the Novel BCI. In: Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4576-4579, (2011). [bibtex]


  6. H Higashi, T Tanaka Optimal Design of a Bank of Spatio-temporal Filters for EEG Signal Classification. In: Proceedings of 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 6100-6103, (2011). [bibtex]


  7. K Hiyoshi, F Vialatte, M Kawasaki, H Fukuyama, A Cichocki Neurodynamics of Emotional Judgments in the Human Brain. In: Proceedings of 3rd International Joint Conference on Computational Intelligence, 461-464, (2011). [bibtex]


  8. Z Koldovsky, P Tichavsky, A-H Phan Stability Analysis and Fast Damped-Gauss-Newton Algorithm for INDSCAL Tensor Decomposition. In: Proceedings of Statistical Signal Processing Workshop, 581-584, (2011). [bibtex]


  9. M Mouri, A Funase, A Cichocki, I Takumi, H Yasukawa Analysis of Environmental Electromagnetic Signal Using Nonnegative Matrix Factorization Minimizing Quasi-L1 Norm. In: Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium, 1846-1849, (2011). [bibtex]


  10. A Onishi, Y Zhang, Q Zhao, A Cichocki Fast and Reliable P300-Based BCI with Facial Images. In: Proceedings of the 5th International Brain-Computer Interface Conference 2011, 192-195, (2011). [bibtex]


  11. A-H Phan, A Cichocki, K Matsuoka, J Cao Novel Hierarchical ALS Algorithm for Nonnegative Tensor Factorization. In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1984-1987, (2011). [bibtex]


  12. A-H Phan, P Tichavsky, A Cichocki Fast Damped Gauss-newton Algorithm for Sparse and Nonnegative Tensor Factorization. In: Proceedings of the 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1988-1991, (2011). [bibtex]


  13. A-H Phan, P Tichavsky, A Cichocki Damped Gauss-Newton Algorithm for Nonnegative Tucker Decomposition. In: Proceedings of Statistical Signal Processing Workshop, 665-668, (2011). [bibtex]


  14. Y Tomita, A Gaume Concatenation Method for High-temporal Resolution SSVEP-BCI. In: Proceedings of 3rd International Joint Conference on Computational Intelligence - Int’l Conf. on Neural Computation Theory and Applications (NCTA 2011), 444-452, (2011). [bibtex]


  15. F Vialatte, A Cichocki, C Latchoumane, J Jeong, J Douwels Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease. In: Proceedings of IEEE Engineering in Medicine and Biology Society, 6087-6091, (2011). [bibtex]


  16. Q Zhao, C Caiafa, D Mandic, L Zhang, T Ball, A Schulze-Bonhage, A Cichocki Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. In: Proceedings of the 2011 Conference Neural Information Processing Systems, 1269-1277, (2011). [bibtex]


2010
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  1. H Bakardjian, T Tanaka, A Cichocki Brain Control of Robotic Arm Using Affective Steady-State Visual Evoked Potentials. In: Proceedings of the IASTD International Symposia on Human-Computer Interaction, 264-270, (2010). [bibtex]


  2. F Cong, A Cichocki, H Lyytinen, T Ristaniemi Identical Fits of Nonnegative Matrix/Tensor Factorization May Correspond to Different Extracted Event-related Potentials. In: Proceedings of 2010 IEEE World Congress on Computational Intelligence, 2260-2264, (2010). [bibtex]


  3. J Dauwels, F Vialatte Topics in Brain Signal Processing. In: Proceedings of the Second APSIPA Annual Summit and Conference, 939-943, (2010). [bibtex]


  4. G Hori, T Tanaka Finding Initial Values for Time-varying Joint Diagonalization. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018-2021, (2010). [bibtex]


  5. G Hori, T Tanaka Pivoting in Cayley transform-based Optimization on Orthogonal Groups. In: Proceedings of the Second APSIPA Annual Summit and Conference, 181-184, (2010). [bibtex]


  6. S Iyengar, J Dauwels, P Varshney, A Cichocki Quantifying EEG Synchrony Using Copulas. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 505-508, (2010). [bibtex]


  7. K Molla, T Tanaka, T Rutkowski, A Cichocki Separation of EOG Artifact from EEG Signals using Bivariate EMD. In: Proceedings of the 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, 562-565, (2010). [bibtex]


  8. A-H Phan, A Cichocki, T Vu-Dinh A Tensorial Approach to Single Trial Recognition for Brain Computer Interface. In: Proceedings of 2010 International Conference on Advanced Technologies for Communications, 138-141, (2010). [bibtex]


  9. A-H Phan, A Cichocki, T Vu-Dinh Classification of Scenes Based on Multiway Feature Extraction. In: Proceedings of 2010 International Conference on Advanced Technologies for Communications, 142-145, (2010). [bibtex]


  10. T Rutkowski, T Tanaka, Q Zhao, A Cichocki Spatial Auditory BCI/BMI Paradigm-Multichannel EMD Approach to Brain Responses Estimation. In: Proceedings of the Second APSIPA Annual Summit and Conference, 197-202, (2010). [bibtex]


  11. Y Sato, T Hoya, H Bakardjian, A Cichocki Reduction of Broadband Noise in Speech Signals by Multilinear Subspace Analysis. In: Proceedings of Interspeech 2010, 965-968, (2010). [bibtex]


  12. J Sole-Casals, F Vialatte, J Pantel, D Prvulovic, C Haenschel, A Cichocki ICA Cleaning Procedure for EEG Signals Analysis. In: Proceedings of the 3rd International Joint Conference on BIOSTEC, 485-490, (2010). [bibtex]


  13. F Vialatte, C Latchoumane, N Hudson, S Wimalaratna, J Sole-Casals, J Jeong, A Cichocki Sparse Bump Modeling of Mildad Patients. In: Proceedings of the 3rd International Joint Conference on BIOSTEC, 479-484, (2010). [bibtex]


  14. F Vialatte, M Maurice, T Tanaka, Y Yamaguchi, A Cichocki Analyzing Steady State Visual Evoked Potentials Using Blind Source Separation. In: Proceedings of the Second APSIPA Annual Summit and Conference, 578-582, (2010). [bibtex]


  15. F Vialatte, C-F-V Latchoumane, N Hudson, S Wimalaratna, J Sole-Casals, J Jeong, A Cichocki Sparse bump modeling of mildAD patients. Modeling transient oscillations in the EEG of patients with mild Alzheimer's disease. In: Proceedings of 3rd International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2010, 478-483, (2010). [bibtex]


2009
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. C Caiafa, A Cichocki Reconstructing Matrices and Tensors from Few Vectors. In: Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications (NOLTA 09), 447-450, (2009). [bibtex]


  2. C Caiafa, A Cichocki Methods for Factorization and Approximation of Tensors by Partial Fiber Sampling. In: Proceedings of the 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 73-76, (2009). [bibtex]


  3. J Dauwels, F Vialatte, C Latchoumane, J Jeong, A Cichocki EEG Synchrony Analysis for Early Diagnosis of Alzheimer’s Disease: A Study with Several Synchrony Measures and EEG Data Sets. In: Proceedings of 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2224-2227, (2009). [bibtex]


  4. G Hori, T Tanaka Extension of Joint Diagonalization for Moving Targets. In: Proceedings of the 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 309-311, (2009). [bibtex]


  5. D Looney, T Rutkowski, A Heidenreich, D Beyer, N Rehman, D Mandic Conditioning Multimodal Information for Smart Environments. In: Proceedings of the ACM/IEEE Interntaional Conference on Distributed Smart Cameras, 1-8, (2009). [bibtex]


  6. M Mouri, A Funase, A Cichocki, I Takumi, H Yasukawa, M Hata Implementation of Matrix Factorization based on Minimizing Quasi-absolute Distance for Electromagnetic Global Signal Elimination. In: Proceedings of 17th European Signal Processing Conference (EUSIPCO 2009), 446-450, (2009). [bibtex]


  7. A-H Phan, A Cichocki Analysis of Interactions Among Hidden Components for Tucker Model. In: Proceedings of the 2009 APSIPA Annual Summit and Conference, 154-158, (2009). [bibtex]


  8. A-H Phan, A Cichocki Block Decomposition for Very Large-Scale Nonnegative Tensor Factorization. In: Proceedings of 2009 the 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 316-319, (2009). [bibtex]


  9. A-H Phan, A Cichocki Fast Nonnegative Tensor Factorization for Very Large-Scale Problems Using Two-Stage Procedure. In: Proceedings of 2009 the 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 297-300, (2009). [bibtex]


  10. N Rehman, D Looney, T Rutkowski, D Mandic Bivariate EMD-based Image Fusion. In: Proceedings of 2009 IEEE Workshop on Statistical Signal Processing, 57-60, (2009). [bibtex]


  11. T Rutkowski, A Cichocki, T Tanaka, D Mandic, J Cao Multichannel Spectral Pattern Separation - A Nonlinear Approach to EEG Signals from Interferences Separation in Frequency Domain. In: Proceedings of 2009 International Workshop on Nonlinear Circuits and Signal Processing, 439-442, (2009). [bibtex]


  12. T Rutkowski, A Cichocki, T Tanaka, D Mandic, J Cao Multichannel Spectral Pattern Separation - An EEG Processing Application. In: Proceedings of 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, 373-376, (2009). [bibtex]


  13. T Rutkowski, A Cichocki, D Mandic Information Fusion Analysis in Time-frequency Domain of Brain Responses Dynamics to Affective Stimuli. In: Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2009), 169-173, (2009). [bibtex]


  14. T Rutkowski, A Cichocki, D Mandic Emotional Empathy States Estimation from Human Brain Responses in Interactive Communication Situations - Research in Progress. In: Proceedings of the 8th International Workshop on Social Intelligence Design (SID09), 206-213, (2009). [bibtex]


  15. S Sanei, A-H Phan, J Lo, V Abolghasemi, A Cichocki A Compressive Sensing Approach for Progressive Transmission of Image. In: Proceedings of 16th International Conference on Digital Signal Processing, 1-5, (2009). [bibtex]


  16. J Sole-Casals, F Vialatte, Z Chen, A Cichocki Coherency and Sharpness Measures by Using ICA Algorithms. In: Proceedings of 2nd International Conference on Bio-inspired Systems and Signal Processing, 468-475, (2009). [bibtex]


  17. Y Washizawa Pattern Classification on Local Metric Structure. In: Proceedings of 10th International Conference on Document Analysis and Recognition, 471-475, (2009). [bibtex]


  18. Y Washizawa, Y Yamashita, A Cichocki Blind Source Extraction Using Spatio-temporal Inverse Filter. In: Proceeding of 2009 IEEE International Symposium on Circuits and Systems, 2786-2789, (2009). [bibtex]


  19. Y Washizawa Subset Kernel PCA for Pattern Recognition. In: Proceedings of 2009 IEEE International Conference on Computer Vision Workshops, 162-169, (2009). [bibtex]


  20. Q Zhao, L Zhang, A Cichocki Multi-linear Generalization of Common Spatial Pattern. In: Proceedings of 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, 525-528, (2009). [bibtex]


  21. Q Zhao, L Zhang, A Cichocki Common Tensor Discriminative Analysis for EEG Classification. In: Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications (NOLTA09), 443-446, (2009). [bibtex]


2008
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  1. A Cichocki, A-H Phan, C Caiafa Flexible HALS Algorithms for Sparse Non-negative Matrix/Tensor Factorization. In: Proceedings of 2008 IEEE International Workshop on Machine Learning for Signal Processing, 73-78, (2008). [bibtex]


  2. J Dauwels, T Rutkowski, F Vialatte, A Cichocki On the Synchrony of Empirical Mode Decompositions with Application to Electroencephalography. In: Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, 473-476, (2008). [bibtex]


  3. J Dauwels, T Weber, F Vialatte, A Cichocki Quantifying the Similarity of Multiple Multi-dimensional Point Processes by Integer Programming with Application to Early Diagnosis of Alzheimer’s Disease from EEG. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08), 2657-2660, (2008). [bibtex]


  4. J Dauwels, F Vialatte, T Weber, A Cichocki Analyzing Brain Signals by Combinatorial Optimization. In: Proceedings of the Forty-Sixth Annual Allerton Conference, 1381-1388, (2008). [bibtex]


  5. Z He, A Cichocki Sparse Representation of L-order Markov Signals. In: Proceedings of 2008 International Symposium on Nonlinear Theory and its Applications (NOLTA08), 203-206, (2008). [bibtex]


  6. Y-D Kim, A Cichocki, S Choi Nonnegative Tucker Decomposition with Alpha-divergence. In: Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1829-1832, (2008). [bibtex]


  7. C Latchoumane, F Vialatte, A Cichocki, J Jeong Multi-way Analysis of Alzheimer’s disease: Classification Based on Space-frequency Characteristics of EEG time series. In: Proceedings of the World Congress on Engineering 2008, 1646-1649, (2008). [bibtex]


  8. M Mouri, A Funase, I Takumi, A Cichocki, H Yasukawa, M Hata Effectiveness of Global Signal Elimination from Environmental Electromagnetic Signals for Earthquake Prediction. In: Proceedings of the 2008 International Symposium on Information Theory and its Applications, 1-6, (2008). [bibtex]


  9. M Mouri, A Funase, I Takumi, A Cichocki, H Yasukawa, M Hata Improvement of Earthquake Prediction by Using Global Signal Elimination from Environmental Electromagnetic Signals. In: Proceedings of the 2008 IEEE International Geosciences and Remote Sensing Symposium, V - 566-V - 569, (2008). [bibtex]


  10. A-H Phan, A Cichocki Multi-Way Nonnegative Tensor Factorization Using Fast Hierarchical Alternating Least Squares Algorithm (HALS). In: Proceedings of the 2008 International Symposium on Nonlinear Theory and its Applications, 41-44, (2008). [bibtex]


  11. A-H Phan, A Cichocki, K-S Nguyen Simple and Efficient Algorithm for Distributed compressed sensing. In: Proceedings of the 2008 IEEE International Workshop on Machine Learning for Signal Processing, 61-66, (2008). [bibtex]


  12. A-H Phan, A Cichocki, K-S Nguyen Novel approach for multi-dimensional data reconstruction and compression. In: Proceedings of the 2008 International Conference on Advanced Technologies for Communications, 55-58, (2008). [bibtex]


  13. J Sole-Casals, F Vialatte, A Cichocki Investigation of ICA Algorithms for Feature Extraction of EEG Signals in Discrimination of Alzheimer Disease. In: Proceedings of BIOSIGNALS 2008: International Conference on Bio-inspired Systems and Signal Processing, 232-235, (2008). [bibtex]


  14. T Tanaka, Y Saito Rhythmic Component Extraction for Multi-channel EEG Data Analysis. In: Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing, 425-428, (2008). [bibtex]


  15. Y Washizawa, S Hotta Robust Boundary Learning for Multi-Class Classification Problems. In: Proceedings of 1st IAPR Workshop on Cognitive Information Processing (CIP08), 188-193, (2008). [bibtex]


  16. Y Washizawa, Y Yamashita, T Tanaka, A Cichocki Blind Global Source Extraction from Noisy Observations. In: Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing (NSCP), 184-187, (2008). [bibtex]


2007
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  1. M Chen, T Rutkowski, B Jelfs, G Souretis, J Cao, D Mandic Assessment of Nonlinearity in Brain Electrical Activity: A DVV Approach. In: Proceedings of 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP07), 461-464, (2007). [bibtex]


  2. M Chen, D Mandic, T Rutkowski, A Cichocki Signal Modality of Characterization of EEG with Response to Steady-State Auditory and Visual BCI Paradigms. In: Proceedings of 2007 IEEE International Workshop on Machine Learning for Signal Processing, 223-228, (2007). [bibtex]


  3. Z Chen, J Cao An Empirical Quantitative EEG Analysis for Evaluating Clinical Brain Death. In: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3880-3883, (2007). [bibtex]


  4. A Cichocki Generalized Component Analysis and Blind Source Separation Methods for Analyzing Multichannel Brain Signals. In: Statistical and Process Models for Cognitive Neuroscience and Aging. Lawrence Erlbaum Associates, 201-272, (2007). [bibtex]


  5. A Cichocki, R Zdunek, S Choi, R Plemmons, S Amari Non-negative Tensor Factorization Using Alpha and Beta Divergences. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, 1393-1396, (2007). [bibtex]


  6. J Dauwels, F Vialatte, A Cichocki A Novel Measure for Synchrony and its Application to Neural Signals. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, 1165-1168, (2007). [bibtex]


  7. A Funase, T Hashimoto, T Yagi, A Barros, A Cichocki, I Takumi Research for Estimation Direction of Saccadic Eye Movements by Single Trial Processing. In: Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4723-4726, (2007). [bibtex]


  8. A Funase, T Yagi, A-K Barros, A Cichocki, I Takumi Single Trial Analysis on Saccade-related EEG Signal. In: Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, 371-374, (2007). [bibtex]


  9. D Looney, D Mandic, T Rutkowski Regularized Adaptive FIR Filters for Image Denoising. In: Proceedings of the 2007 15th International Conference on Digital Signal Processing (DSP07), 55-58, (2007). [bibtex]


  10. D Looney, T Rutkowski, D Mandic An Adaptively Regularized Method for Denoising of Real World Images. In: Proceedings of The 4th Institution of Engineering and Technology International Conference on Visual Information Engineering, (2007). [bibtex]


  11. D Mandic, P Vayanos, C Boukis, B Jelfs, S-L Goh, T Gautama, T Rutkowski Collaborative Adaptive Learning Using Hybrid Filters. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, 921-924, (2007). [bibtex]


  12. M Mouri, A Funase, A Cichocki, I Takumi, H Yasukawa, M Hata Applying Non-negative Matrix Factorization for Global Signal Elimination from Electromagnetic Signals. In: Proceedings of the 15th European Signal Processing Conference, 15th European Signal Processing Conference (EUSIPCO07), 2444-2448, (2007). [bibtex]


  13. M Mouri, A Funase, A Cichocki, I Takumi, H Yasukawa, M Hata Reduction of False Detection for ELF Band Environmental Electromagnetic Signals by Global Signal Elimination. In: Proceedings of the 2007 IEICE Society Conference, 30-31, (2007). [bibtex]


  14. M Mouri, A Funase, A Cichocki, I Takumi, H Yasukawa, M Hata Reduction of Anomaly False Detection by using Global Signal Elimination from Environmental Electromagnetic Signals. In: Proceedings of the 30th Symposium on Information Theory and its Applications (SITA07), 515-520, (2007). [bibtex]


  15. K Ohno, A Funase, A Cichocki, I Takumi Analysis of EEG Signals in Memory Guided Saccade Tasks. In: Proceedings of World Congress on Medical Physical and Biomedical Engineering, 2664-2667, (2007). [bibtex]


  16. T Tanaka, S Fiori Least Squares Approximate Joint Diagonalization on the Orthogonal Group. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 649-652, (2007). [bibtex]


  17. F Vialatte, J Sole-Casals, A Cichocki EEG Windowed Statistical Wavelet Deviation for Estimation of Muscular Artifacts. In: Proceedings of 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1161-1164, (2007). [bibtex]


  18. Y Washizawa Regularization vs Rank Reduction in Quadratic Classifiers. In: Proceedings of Subspace, 108-115, (2007). [bibtex]


  19. Y Washizawa, Y Yamashita, T Tanaka, A Cichocki Extraction of Steady State Visually Evoked Potential Signal and Estimation of Distribution Map from EEG Data. In: Proceedings of 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5449-5452, (2007). [bibtex]


  20. Y Washizawa, T Tanaka A Tutorial on Empirical Mode Decomposition. In: Proceedings of SIP Symposium, 135-140, (2007). [bibtex]


  21. Y Washizawa Quadratic Classifier with Regularization. In: Proceedings of Meeting on Image Recognition and Understanding, 510-515, (2007). [bibtex]


  22. Y Washizawa, Y Yamashita, T Tanaka, A Cichocki Extraction of the Global Signal from Multi-channel Noisy Signals and its application in EEG Processing. In: IEICE Technical Report, 61-66, (2007). [bibtex]


  23. J Xu, H Bakardjian, A Cichocki, J Principe A New Nonlinear Similarity Measure for Multichannel Biological Signals. In: Proceedings of International Joint Conference on Neural Networks, 2046-2051, (2007). [bibtex]


  24. J Yang, Y Konno, J Cao Analysis of Real-Measured EEG Data from Coma and Brain-Death Patients. In: Proceedings of 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing, 385-388, (2007). [bibtex]


  25. R Zdunek, A Cichocki Gibbs Regularized Nonnegative Matrix Factorization for Blind Separation of Locally Smooth Signals. In: Proceedings of the 15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems NDES’07, 317-320, (2007). [bibtex]


2006
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  1. Z Chen, A Cichocki, T Rutkowski Constrained Non-Negative Matrix Factorization Method for EEG Analysis in Early Detection of Alzheimer's Disease. In: Proceedings of 2006 IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 893-896, (2006). [bibtex]


  2. S Choi, J-H Ahn, A Cichocki Iterative Projection Approximation Algorithms for PCA. In: Proceedings of 2006 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 845-848, (2006). [bibtex]


  3. A Cichocki, R Zdunek, S Amari New Algorithms for Non-negative Matrix Factorization in Applications to Blind Source Separation. In: Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, 621-624, (2006). [bibtex]


  4. A Funase, T Yagi, A-K Barros, A Cichocki, I Takumi Single Trial Method for Brain-Computer Interface. In: Proceedings of 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5277-5281, (2006). [bibtex]


  5. Z He, A Cichocki K-Subspace Clustering and its Application in Sparse Component Analysis. In: The 14th European Symposium on Artificial Neural Networks, (2006). [bibtex]


  6. W Liu, D Mandic, A Cichocki An Analysis of the CCA Approach for Blind Source Separation and Its Adaptive Realization. In: Proceedings of 2006 IEEE International Symposium on Circuits and Systems (ISCAS06), 3590-3593, (2006). [bibtex]


  7. W Liu, D Mandic, A Cichocki Blind Source Extraction of Instantaneous Noisy Mixtures Using a Linear Predictor. In: Proceedings of 2006 IEEE International Symposium on Circuits and Systems (ISCAS06), 4199-4202, (2006). [bibtex]


  8. R Szmurlo, J Starzynski, B Sawicki, S Wincenciak, A Cichocki Biodomain Formulation for Modeling Brain Activity Propagation. In: Proceedings of 12th Biennial IEEE Conference on Electromagnetic Field Computation, 348-348, (2006). [bibtex]


  9. T Tanaka, S Fiori Simultaneous Tracking of the Best Basis in Reduced-rank Wiener Filter. In: Proceedings of 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing, 548-551, (2006). [bibtex]


  10. T Tanaka, F Theis A Fast Predictive Lossless Coder for FMRI Data Sets. In: Proceedings of 2006 International Conference on Image Processing, 2529-2532, (2006). [bibtex]


  11. Y Washizawa, A Cichocki On-line K-plane Clustering Learning Algorithm for Sparse Component Analysis. In: Proceedings of 2006 IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP), 681-684, (2006). [bibtex]


  12. Y Washizawa, Y Yamashita Non-linear Wiener Filter in Reproducing Kernel Hilbert Space. In: Proceedings of the 18th International Conference on Pattern Recognition, 967-970, (2006). [bibtex]


2005
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  1. A Cichocki Blind Source Separation: New Tools for Extraction of Source Signals and Denoising. In: Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, 11-25, (2005). [bibtex]


  2. A Funase, T Yagi, A Barros, A Cichocki, I Takumi Comparison of Saccade-related EEG Signal with Saccade-related Independent Component. In: Proceedings 27th Annual International Conference of the IEEE Engineering in Medicine and Biology, 7060-7063, (2005). [bibtex]


  3. M Ito, M Kawamoto, M Ohata, T Mukai, N Ohnishi, Y Inouye Blind Source Separation in a Noisy Environment Using Super-Exponential Algorithm. In: Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 767-772, (2005). [bibtex]


  4. W Liu, D Mandic, A Cichocki A Class of Novel Blind Source Extraction Algorithms Based on a Linear Predictor. In: Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS05), 3599-3602, (2005). [bibtex]


  5. T Tanaka Optimal Design for Synthesis Filters of Oversampled Uniform Perfect Reconstruction Filter Banks with 50% Overlapping. In: Proceedings of International Conference on Image Processing, 477-480, (2005). [bibtex]


  6. F Vialatte, A Cichocki, G Dreyfus, T Musha, T Rutkowski, R Gervais Blind Source Separation and Sparse Bump Modeling of Time Frequency Representation of EEG Signals: New Tools for Early Detection of Alzheimer’s Disease. In: Machine Learning for Signal Processing XV-Proceedings of the 2005 IEEE Signal Processing Society Workshop, 27-32, (2005). [bibtex]


  7. F Vialatte, A Cichocki, G Dreyfus, T Musha, T Rutkowski, R Gervais Blind source separation and sparse bump modelling of time frequency representation of EEG signals: New tools for early detection of Alzheimer's disease. In: Proceedings of the 2005 IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP2005, 27-32, (2005). [bibtex]


  8. L Zhao, J Cao, T Hoya, A Cichocki Analysis of Single-Trial EEG Data Using a Combined Robust Pre-Whitening Technique and ICA Approach. In: Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005., 238-242, (2005). [bibtex]


  9. L Zhao, J Cao, T Hoya, A Cichocki Dynamic Brain Sources of Single-Trial Auditory Evoked Potentials Data Using Complex ICA Approach. In: Proceedings of 27th Annual International Conference of the IEEE Engineering in Medicine and Biology, 4191-4194, (2005). [bibtex]


2004
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  1. A Cichocki, Y Li, P-G Georgiev, S Amari Beyond ICA: Robust Sparse Signal Representations. In: Proceedings of 2004 IEEE International Symposium on Circuits and Systems, 684-687, (2004). [bibtex]


  2. A Cichocki, S Osowski, K Siwek Prewhitening Algorithms of Signals in the Presence of White Noise. In: Proceedings of 6th International Workshop Computational Problems of Electrical Engineering, 205-208, (2004). [bibtex]


  3. S Cruces, A Cichocki, L Lathauwer Thin QR and SVD Factorizations for Simultaneous Blind Signal Extraction. In: Proceedings of 12th European Signal Processing Conference (EUSIPCO04), 217-220, (2004). [bibtex]


  4. S Ding, W Daming, S Omata An Algorithm for Real-time Independent Component Analysis in Dynamic Environments. In: Proceedings of the 47th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS04), 105-108, (2004). [bibtex]


  5. S Ding, H Jie, W Daming, S Omata Signal Extensions in Independent Component Analysis and its Application for Real-time Processing. In: Proceedings of the 4th International Conference on Computer and Information Technology (CIT04), 839-844, (2004). [bibtex]


  6. P-G Georgiev, F-J Theis, A Cichocki Blind Source Separation and Sparse Component Analysis of Overcomplete. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 493-496, (2004). [bibtex]


  7. P-G Georgiev, A Cichocki Sparse Component Analysis of Overcomplete Mixtures by Improved Basis Pursuit Method. In: Proceedings of 2004 IEEE International Symposium on Circuits and Systems, 37-40, (2004). [bibtex]


  8. P-G Georgiev, F-J Theis, A Cichocki Blind source separation and sparse component analysis of overcomplete mixtures,. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP2004), 493-496, (2004). [bibtex]


  9. T Hanada, T Hoya, S Ding, A-K Barros, Y Ishida Combined Subband Independent Component Analysis and Neural Memory for Blind Speech Extraction. In: The 2004 International Technical Conference on Circuits/Systems, Computers and Communications, 1-4, (2004). [bibtex]


  10. T Hoya, T Tanaka, T Murakami, A Cichocki Stereophonic Noise Reduction by a Combined Multi-stage Sliding Subspace Projection and Adaptive Signal Enhancement. In: IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP 04), 421-426, (2004). [bibtex]


  11. T Hoya Self-organizing Associative Kernel Memory for Multi-domain Pattern Classification. In: IFAC Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP04), 735-740, (2004). [bibtex]


  12. Z Leonowicz, J Karvanen, T Tanaka, J Rezmer Model Order Selection Criteria: Comparative Study and Applications. In: Proceedings of 6th International Workshop Computational Problems of Electrical Engineering, 193-196, (2004). [bibtex]


  13. Y Li, A Cichocki, S Amari, S Shishkin, J Cao, F Gu Sparse Representation and its Applications in Blind Source Separation. In: Advances in Neural Information Processing Systems, 241-248, (2004). [bibtex]


  14. T Tanaka, A Cichocki Subband Decomposition Independent Component Analysis and New Performance Criteria. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, 541-544, (2004). [bibtex]


  15. T Tanaka, Y Yamashita On Perfect Reconstruction with Lost Channel Data in Lapped Pseudo-orthogonal Transform. In: Proceedings of 12th European Signal Processing Conference, 877-880, (2004). [bibtex]


  16. T Tanaka, L Duval Noise Reduction of Images with Multiple Subband Transforms. In: Proceedings of IEEE International Conference on Image Processing, 1209-1212, (2004). [bibtex]


  17. T Tanaka Generalized Subspace Rules for On-line PCA and their Application in Signal and Image Compression. In: Proceedings of IEEE International Conference on Image Processing, 1895-1898, (2004). [bibtex]


  18. F-J Theis, P-G Georgiev, A Cichocki Robust Overcomplete Matrix Recovery for Sparse Sources using a Generalized Hough Transform. In: Proceedings of 12th European Symposium on Artificial Neural Networks, 343-348, (2004). [bibtex]


  19. F-J Theis, P-G Georgiev, A Cichocki Blind Source Recovery: Algorithms Comparison and Fusion. In: Proceedings of 24th International Workshop on Bayesian Inference and Maximum Entropy Methods, 320-327, (2004). [bibtex]


2003
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  1. A. K. Barros, A. Cichocki, and N. Ohnishi, "Neural coding by temporal and spatial correlations," in International Meeting of the Psychometric Society (IMPS-2001), (Tokyo, Japan), pp. 673-680, Springer, 2003.
     
  2. J. Cao, "Visualization of dynamic brain activities based on analysis of single-trial MEG data," in Proceedings of the Shanghai International Symposium on Nonlinear Science and Applications (Shanghai NSA 2003)(CD-ROM), (Shanghai, China), Shanghai NSA 2003, 2003.
     
  3. A. Cichocki, "Blind signal processing in application to biomedical signals, images and time series analysis: models and learning algorithms," in 2nd European Interdisciplinary School on Nonlinear Dynamics for System and Signal Analysis (EUROATTRACTOR 2001), (Lengerich, Germany), pp. 107-122, Pabst Science Publishers, 2003.
     
  4. A. Cichocki, "Semi-blind extraction and decomposition of multi-sensory signals: recent trends and perspective," in Proceedings of XII International Symposium on Theoretical Electrical Engineering (ISTET03), (Warsaw, Poland), pp. 1-20, Electrotechnical Institute in Warsaw and others, ISTET, 2003.
     
  5. S. A. Cruces-Alvarez and A. Cichocki, "Globally convergent Newton algorithms for blind decorrelation," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 421-426, Riken, ICA, Apr. 2003. 
     
  6. S. A. Cruces-Alvarez and A. Cichocki, "Combining blind source extraction with joint approximate diagonalization: thin algorithms for ICA," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 463-468, Riken, ICA, Apr. 2003. 
     
  7. S. A. Cruces-Alvarez and A. Cichocki, "A projection pursuit methodology for blind signal extraction," in Proceedings of 13th international meeting of the Psychometric society (IMPS2003), (Cagliari, Italy), 2003.
     
  8. L. Duval and T. Tanaka, "Denoising of seismic signals with oversampled filter banks," in Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), vol. VI, (Hong Kong), pp. 189-192, IEEE, 2003.
     
  9. A. Funase, A. K. Barros, S. Okuma, T. Yagi, and A. Cichocki, "Research of saccade-related EEG: comparison of ensemble averaging method and independent component analysis," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 867-872, Riken, ICA, Apr. 2003. 
     
  10. P. G. Georgiev and A. Cichocki, "Sparseness theorems and sparse representation of signals," in Proceedings of RIMS (Research Institute of Mathematical Sciences), Symposium on Nonlinear Analysis and Convex Analysis, Kyoto University, Sept. 2003.
     
  11. G. Hori, "A general framework for SVD flows and joint SVD flows," in Proceedings of the 2003 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), vol. II, (Hong Kong), pp. 693-696, IEEE, 2003.
     
  12. G. Hori and J. H. Manton, "Critical point analysis of joint diagonalization criteria," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 1095-1100, Riken, ICA, Apr. 2003. 
     
  13. T. Hoya, A. K. Barros, T. M. Rutkowski, and A. Cichocki, "Speech extraction based upon a combined subband independent component analysis and neural memory," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 355-360, Riken, ICA, Apr. 2003. 
     
  14. T. Hoya, A. Cichocki, T. Tanaka, G. Hori, T. Murakami, and J. A. Chambers, "A combined cascading subspace and adaptive signal enhancement method for stereophonic noise reduction," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 573-578, Riken, ICA, Apr. 2003. 
     
  15. T. Hoya, G. Hori, H. Bakardjian, T. Nishimura, T. Suzuki, Y. Miyawaki, A. Funase, and J. Cao, "Classification of single trial EEG signals by a combined principal + independent component analysis and probabilistic neural network approach," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 197-202, Riken, ICA, Apr. 2003. 
     
  16. T. Hoya, "A kernel based neural memory concept and representation of procedural memory and emotion," in Proceedings of AROB'03, pp. 373-376, Jan. 2003.
     
  17. J. Karvanen, "Generation of correlated non-gaussian random variables from independent components," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 769-774, Riken, ICA, Apr. 2003.
     
  18. J. Karvanen and A. Cichocki, "Measuring sparseness of noisy signals," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 125-130, Riken, ICA, Apr. 2003. 
     
  19. Y. Konno, J. Cao, T. Arai, and T. Takeda, "Detection of brain activity for averaged multiple-trial magnetoencephalography data," in Proceedings of the 8th Australian and New Zealand Conference on Intelligent Information Systems (ANZIIS 2003), (Brisbane, Australia), pp. 361-366, Queensland University of Technology, 2003.
     
  20. Y. Li, A. Cichocki, and S. Amari, "Sparse component analysis for blind source separation with less sensors than sources," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 89-94, Riken, ICA, Apr. 2003. 
     
  21. Y. Li and A. Cichocki, "Sparse representation of images using alternating linear programming," in Proceedings of The Seventh International Symposium on Signal Processing and Its Applications(ISSPA2003), (Paris, France), pp. 57-60, IEEE, July 2003.
     
  22. Y. Li and A. Cichocki, "Non-negative matrix factorization and its application in blind sparse source separation with less sensors than sources," in Proceedings of XII International Symposium on Theoretical Electrical Engineering (ISTET2003), (Warsaw, Poland), pp. 285-288. 
     
  23. Y. Li, J. Wang, and A. Cichocki, "Blind source extraction for ill-conditioned dynamic multi-input multi-output channels," in Proceedings of KSS'2003 & MCS'2003 on Knowledge and Systems Sciences: Towards Meta-Synthesis Support for Decision Making, (Hong Kong, China), pp. 256-260, Global-Link Publisher, 2003.
     
  24. Y. Li, A. Cichocki, S. Amari, S. Shishkin, J. Cao, and F. Gu, "Sparse representation and its applications in blind source separation," in Seventeenth Annual Conference on Neural Information Processing Systems (NIPS-2003), (Vancouver), Dec. 2003. 
     
  25. Y. Li, A. Cichocki, and L. Zhang, "Blind deconvolution for binary sources: A grouping decision approach," in IEEE International Conference on Acoustics, Speech and Signal Processing, (Hong Kong), 2003.
     
  26. D. P. Mandic and A. Cichocki, "An online algorithm for blind extraction of sources with different dynamical structures," in Proceedings of 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), (Kyoto, Japan), pp. 645-650, Riken, ICA, Apr. 2003. 
     
  27. D. P. Mandic, A. Cichocki, and U. Manmontri, "An on-line algorithm for blind source extraction based on nonlinear prediction approach," in 2003 IEEE International Workshop on Neural Networks for Signal Processing, (Toulouse, France), pp. 429-438, IEEE, Sept. 2003.
     
  28. Y. Miyawaki and M. Okada, "A model of transcranial magnetic stimulation: visual suppression regulated by inhibitory interaction in neural population," (Tokyo, Japan), p. 66, Vision Society of Japan, Jan. 2003.
     
  29. T. Tanaka, Y. Hirasawa, and Y. Yamashita, "A novel class of variable-length lapped transform for image coding," in Proceedings of 2003 IEEE International Conference on Image Processing (ICIP 2003), vol. I, (Barcelona, Spain), pp. 649-652, IEEE, Sept. 2003.
     
  30. T. Tanaka, T. Saito, and Y. Yamashita, "Projection-based time-varying subband image coding," in Proceedings of 2003 IEEE International Conference on Image Processing (ICIP 2003), vol. III, (Barcelona, Spain), pp. 201-204, IEEE, Sept. 2003.
2002
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  1. S. Choi, A. Cichocki, and S. Amari, "Natural gradient learning for second-order nonstationary source separation," in Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN '02)(CD-ROM), (Honolulu, Hawaii, USA), pp. 654-658, IEEE and others, IEEE, May 2002.
     
  2. A. Cichocki, K. Siwek, R. Szupiluk, and L. Moszczynski, "Blind signal extraction for multisensory biomedical signals," in Proceedings of International Conference on Fundamentals of Electrotechnics and Circuit Theory, (Gliwice-Ustron, Poland), pp. 455-459, IC-SPETO, IC-SPETO, 2002.
     
  3. A. Cichocki, "Generalized independent component analysis and its applications in processing of multisensory biomedical data," in Proceedings of IVth International Workshop Computational Problems of Electrical Engineering, (Warsaw, Poland), pp. 13-24, Institute of the Theory of Electrical Engineering and Electrical Measurements, Warsaw University of Technology, Warsaw University of Technology, 2002.
     
  4. A. Cichocki and P. G. Georgiev, "Blind identification problems with constraints," in Neural Networks for Signal Processing XII: Proceedings of the 2002 IEEE Signal Processing Society Workshop, (Martigny, Switzerland), pp. 535-544, IEEE, IEEE, Sept. 2002.
     
  5. A. Cichocki, T. M. Rutkowski, and K. Siwek, "Blind signal extraction of signals with specified frequency band," in Neural Networks for Signal Processing XII: Proceedings of the 2002 IEEE Signal Processing Society Workshop, (Martigny, Switzerland), pp. 515-524, IEEE, IEEE, Sept. 2002. 
     
  6. P. G. Georgiev and A. Cichocki, "Robust blind source separation and dispersing algorithms," in Proceedings of 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, (Orlando, Florida, USA), pp. 997-1000, IEEE, May 2002.
     
  7. P. G. Georgiev and A. Cichocki, "Robust blind source separation utilizing second and fourth order statistics," in Artificial Neural Networks - ICANN 2002 (Lecture Notes in Computer Science, Vol. 2415), (Madrid), pp. 1162-1167, Springer, Aug. 2002. 
     
  8. P. G. Georgiev and A. Cichocki, "On some new ideas and algorithms for independent component analysis," in Proceedings of the Workshop on Nonlinear Analysis and Convex Analysis (RIMS Kokyuroku 1246), (Kyoto, Japan), pp. 19-30, Research Institute for Mathematical Sciences, Aug. 2002.
     
  9. W. Hashimoto, "Analysis of natural images by independent quadratic forms and temporally coherent quadratic forms," in Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), (Singapore), pp. 2424-2429, School of Electrical & Electronic Engineering, Nanyang Technological University, IEEE, Nov. 2002.
     
  10. G. Hori, "On the fixed points of gradient flows on orthogonal groups," in Proceedings of the 2002 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2002), vol. 2, (Bangkok, Thailand), pp. 1204-1207, ITC-CSCC, 2002.
     
  11. G. Hori, M. Inoue, S. Nishimura, and H. Nakahara, "Blind gene classification: an ICA-based gene classification/clustering method," in Intelligent Systems for Molecular Biology (ISMB2002), vol. 38A(i), (Edmonton, Canada), p. 60, 2002.
     
  12. T. Hoya, "Interpreting two psychological functions by a hierarchically structured neural memory model," in Proceedings of The International Symposium on Distributed Autonomous Robotic Systems (DARS2002), (Hakata, Fukuoka, Japan), pp. 405-414, Riken, Springer, June 2002.
     
  13. T. Ibayashi, T. Hoya, O. Ono, and Y. Ishida, "A model-following adaptive controller using radial basis function networks," in Proceedings of CACSD-2002, (Glasgow, Scotland), pp. 820-824, Sept. 2002. (invited paper).
     
  14. L. Kindermann and P. G. Georgiev, "Modeling iterative roots of mappings in multidimensional spaces," in Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), (Singapore), pp. 2655-2659, School of Electrical & Electronic Engineering, Nanyang Technological University, IEEE, 2002.
     
  15. Y. Li, A. Cichocki, and L. Zhang, "Blind deconvolution for dynamic systems with signal binary source input," in Proceedings of 2002 IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 2002.
     
  16. Y. Miyawaki and M. Okada, "A network model of inhibitory effects induced by transcranial magnetic stimulation," in The Computational Neuroscience meeting 2002, (Chicago, Illinois, USA), p. 105, July 2002. (selected for the issue of Neurocomputing).
     
  17. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Pitch extraction of speech signals using an eigen-based subspace method," in Proceedings of ICSLP-2002, (Denver, USA), pp. 1729-1732, Sept. 2002.
     
  18. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Speech enhancement based on a combined higher frequency regeneration technique and radial basis function networks," in 10 International Conference on Computers, Communications, Control and Power Engineering IEEE TENCON'02, (Beijing, China), Oct. 2002.
     
  19. H. Nakahara, S. Nishimura, M. Inoue, G. Hori, and S. Amari, "Higher-order gene interaction revealed by log-linear analysis of DNA microarrays," in Intelligent Systems for Molecular Biology (ISMB2002), vol. 11B, (Edmonton, Canada), p. 98, 2002.
     
  20. M. Nikpour, J. H. Manton, and G. Hori, "Algorithms on the stiefel manifold for joint diagonalisation," in Proceedings of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002), (Orlando, USA), pp. 1481-1484, IEEE, 2002.
     
  21. J. C. Rajapakse, A. Cichocki, and V. D. Sanchez A., "Independent component analysis and beyond in brain imaging: EEG, MEG, fMRI, and PET," in Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), (Singapore), pp. 404-412, School of Electrical & Electronic Engineering, Nanyang Technological University, IEEE, 2002. 
     
  22. J. C. Rajapakse, A. Cichocki, and K. Siwek, "Non independent strategies for blind source separation in functional MRI," in Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), (Singapore), pp. 1654-1660, School of Electrical & Electronic Engineering, Nanyang Technological University, IEEE, 2002.
     
  23. T. Watanabe, T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Recovery of broadband speech from narrowband speech by radial basis; function neural networks," in 10 International Conference on Computers, Communications, Control and Power Engineering IEEE TENCON'02, (Beijing, China), Oct. 2002.
     
  24. T. Watanabe, T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Transformation of spectral envelope for voice conversion based on radial basis function networks," in Proceedings of ICSLP-2002, (Denver, USA), pp. 285-288, Sept. 2002.
2001
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. A. K. Barros, F. Itakura, T. Rutkowski, and N. Ohnishi, "Estimation of speech embedded in a reverberant environment with multiple sources of noise," in Proceedings of 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2001), vol. 1, (Utah, USA), pp. 629-632, May 2001. 
     
  2. A. Bousbia-Salah, A. Belouchrani, and A. Cichocki, "Application of time-frequency distributions to the independent component analysis of ECG signals," in Proceedings of Sixth International Symposium on Signal Processing and its Applications (ISSPA 2001), (Kuala Lumpur, Malaysia), pp. 238-241, ISSPA, IEEE, Aug. 2001.
     
  3. J. Cao, "A robust approach for ICA with high-level noisy measurements and unknown number of sources," in Neural Information Processing: ICONIP2001 Proceedings (L. Zhang and F. Gu, eds.), vol. II, (Shanghai, China), pp. 1012-1017, Fudan University Press, Sept. 2001.
     
  4. J. Cao, N. Murata, S. Amari, A. Cichocki, and T. Takeda, "A robust ICA approach for unaveraged single-trial auditory evoked fields data decomposition," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 445-450, Dec. 2001.
     
  5. S. Choi, A. Cichocki, and A. Belouchrani, "Blind separation of second-order nonstationary and temporally colored sources," in Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, pp. 444-447, IEEE, Aug. 2001. 
     
  6. S. Choi, A. Cichocki, L. Zhang, and S. Amari, "Approximate maximum likelihood source separation using the natural gradient," in Proceedings of the 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01), pp. 235-238, IEEE, Mar. 2001. 
     
  7. S. Choi, A. Cichocki, and Y. Deville, "Differential decorrelation for nonstationary source separation," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 319-322, ICA, Dec. 2001.
     
  8. S. Choi and A. Cichocki, "Correlation matching approach to source separation in the presence of spatially correlated noise," in Proceedings of Sixth International Symposium on Signal Processing and its Applications (ISSPA 2001), (Kuala Lumpur, Malaysia), pp. 272-275, ISSPA, IEEE, Aug. 2001. 
     
  9. A. Cichocki, R. R. Gharieb, and N. Mourad, "Extraction of superimposed evoked potentials by combination of independent component analysis and cumulant-based matched filtering," in Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, pp. 237-240, IEEE, Aug. 2001.
     
  10. A. Cichocki, R. R. Gharieb, and T. Hoya, "Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods," in Proceedings of 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2001), vol. 5, (Salt Lake City, Utah, USA), pp. 3117-3120, IEEE, IEEE, May 2001. 
     
  11. A. Cichocki and A. Belouchrani, "Source separation of temporally correlated source using bank of band pass filters," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 173-178, ICA, Dec. 2001.
     
  12. S. A. Cruces-Alvarez, A. Cichocki, and S. Amari, "The minimum entropy and cumulants based contrast functions for blind source extraction," in Bio-Inspired Applications of Connectionism: Proceedings of 6th International Work-Conference on Artificial and Natural Networks (IWANN 2001) (J. Mira and A. Prieto, eds.), vol. II, LNCS2085, (Granada, Spain), pp. 786-793, Springer-Verlag, June 2001. 
     
  13. S. A. Cruces-Alvarez, A. Cichocki, and S. Amari, "Criteria for the simultaneous blind extraction of arbitrary groups of sources," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 740-745, ICA, Dec. 2001. 
     
  14. A. Funase, T. Yagi, A. K. Barros, Y. Kuno, and Y. Uchikawa, "Analysis on saccade-related EEG with ICA," in Proceedings of the 10th International Symposium on Applied Electromagnetic and Mechanics, (Tokyo, Japan), pp. 411-412, 2001.
     
  15. P. G. Georgiev and A. Cichocki, "Blind source separation via symmetric eigenvalue decomposition," in Proceedings of Sixth International Symposium on Signal Processing and its Applications (ISSPA 2001), (Kuala Lumpur, Malaysia), pp. 17-20, ISSPA, IEEE, Aug. 2001. 
     
  16. P. G. Georgiev and A. Cichocki, "Multichannel blind deconvolution of colored signals via eigenvalue decomposition," in Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing, pp. 273-276, IEEE, Aug. 2001.
     
  17. P. G. Georgiev, A. Cichocki, and S. Amari, "Nonlinear dynamical system generalizing the natural gradient algorithm," in Proceeindgs of 2001 International Symposium on Nonlinear Theory and its Applications (NOLTA2001), (Zao, Miyagi, Japan), pp. 391-394, Research Society of Nonlinear Theory and its Applications, Oct. 2001.
     
  18. P. G. Georgiev, A. Cichocki, and S. Amari, "On some extensions of the natural gradient algorithm," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 581-585, ICA, Dec. 2001.
     
  19. P. G. Georgiev, "Blind source separation of bilinearly mixed signals," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 328-330, ICA, Dec. 2001.
     
  20. R. R. Gharieb and A. Cichocki, "On-line EEG classification and sleep spindles detection using an adaptive recursive bandpass filter," in Proceedings of 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2001), vol. 2, (Salt Lake City, Utah, USA), pp. 1061-1064, IEEE, May 2001. 
     
  21. W. Hashimoto, "Independent component analysis with several mixing matrices," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 563-568, Institute for Neural Computation, University of California, San Diego, ICA, Dec. 2001.
     
  22. G. Hori, "Nonlinear dynamics associated with diagonalization and joint diagonalization," in Proceeindgs of 2001 International Symposium on Nonlinear Theory and its Applications (NOLTA2001), (Zao, Miyagi, Japan), pp. 407-410, Research Society of Nonlinear Theory and its Applications, Oct. 2001.
     
  23. G. Hori, M. Inoue, S. Nishimura, and H. Nakahara, "Blind gene classification based on ICA of microarray data," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 332-336, Institute for Neural Computation, University of California San Diego, ICA, Dec. 2001.
     
  24. G. Hori, M. Inoue, S. Nishimura, and H. Nakahara, "Blind gene classification - an application of a signal separation method," in GIW (Genome Informatics Workshop) 2001, (Yebisu, Tokyo, Japan), pp. 255-256, 2001.
     
  25. T. Hoya, "Modeling the notions of intuition and consciousness by hierarchically arranged generalized regression neural networks," in Proceeindgs of 2001 International Symposium on Nonlinear Theory and its Applications (NOLTA2001), (Zao, Miyagi, Japan), pp. 403-406, Research Society of Nonlinear Theory and its Applications, Oct. 2001. (invited paper).
     
  26. Y. Li, A. Cichocki, and L. Zhang, "Blind separation of digital sources," in Proceedings of 8th International Conference on Neural Information Processing (ICONIP2001), (Shanghai, China), pp. 1018-1022, Fudan University Press, Sept. 2001.
     
  27. Y. Miyawaki, R. Hayashi, T. Maeda, and S. Tachi, "The VEP component related to figure-ground processes in the time course of stereopsis," in Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO2001), vol. 42, p. S404, May 2001.
     
  28. Y. Miyawaki, R. Hayashi, T. Maeda, and S. Tachi, "The late negative figure-ground VEP modulated by focal attention," in Perception, vol. 30, (Kusadasi, Turkey), pp. 44-45, 24th European Conference on Visual Perception (ECVP2001), Aug. 2001.
     
  29. Y. Miyawaki, R. Hayashi, T. Maeda, and S. Tachi, "The late VEP components and figure-ground processes: modulatory effects by focal attention," in The Journal of the Vision Society of Japan, vol. 13, (Kanagawa, Japan), p. 196, Vision Society of Japan 2001 Summer Meeting, Aug. 2001.
     
  30. N. Mourad, R. R. Gharieb, and A. Cichocki, "Extended flexible independent component analysis," in Proceedings of IEEE International Symposium on Signal Processing and Information Technology, (Cairo, Egypt), pp. 305-310, ISSPIT, Dec. 2001.
     
  31. T. Murakami, M. Namba, T. Hoya, and Y. Ishida, "Speech enhancement using MUSIC (MUltiple SIgnal Classification) algorithm," in Proceedings of IASTED 2001, (Rhodes, Greece), pp. 213-216, July 2001.
     
  32. T. M. Rutkowski, A. Cichocki, and A. K. Barros, "Speech enhancement from interfering sounds using CASA techniques and blind source separation," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 728-733, ICA, Dec. 2001.
     
  33. J. Watanabe, T. Hoya, and Y. Ishida, "Design of model-following controllers using radial basis function neural networks," in Proceedings of IASTED 2001, (Rhodes, Greece), pp. 113-116, July 2001.
     
  34. A. Yoshida, T. Nakagawa, J. Cao, and S. Tanaka, "Independent component analysis for functional neuronal interactions," in Neural Information Processing: ICONIP2001 Proceedings (L. Zhang and F. Gu, eds.), vol. III, (Shanghai, China), pp. 1403-1408, Fudan University Press, Sept. 2001.
     
  35. L. Zhang, S. Amari, and A. Cichocki, "Equi-convergence algorithm for blind separation of source with arbitrary distributions," in Bio-Inspired Applications of Connectionism: Proceedings of 6th International Work-Conference on Artificial and Natural Networks (IWANN 2001) (J. Mira and A. Prieto, eds.), vol. II, LNCS2085, (Granada, Spain), pp. 826-833, Springer-Verlag, June 2001.
     
  36. L. Zhang and A. Cichocki, "Feature extraction and blind separation of convolutive signals," in Proceedings of 8th International Conference on Neural Information Processing (ICONIP2001), (Shanghai, China), pp. 789-794, Fudan University Press, Sept. 2001.
     
  37. L. Zhang and A. Cichocki, "Sparse representation and blind deconvolution of dynamical systems," in Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation, (San Diego, California, USA), pp. 284-289, Dec. 2001. 
2000
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. A. K. Barros, H. Kawahara, A. Cichocki, S. Kajita, T. M. Rutkowski, M. Kawamoto, and N. Ohnishi, "Enhancement of a speech signal embedded in noisy environment using two microphones," in Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), (Helsinki, Finland), pp. 423-428, Helsinki University of Technology, IEEE Signal Processing Society, June 2000. 
     
  2. A. Belouchrani and A. Cichocki, "An adaptive algorithm for the separation of finite alphabet signals," in Proceedings Third Australian Workshop on Signal Processing and Applications '2000 (CD-ROM), (Brisbane, Australia), Signal Processing Research Centre, Queensland University of Technology, 2000.
     
  3. J. Cao and A. Cichocki, "Independent features extraction from multivariable time series biomedical recordings," in Proceedings of the IEEE-EMBS Asia-Pacific Conference on Biomedical Engineering, (Hangzhou, China), pp. 185-186, Zhejiang Univesity, The Chinese University of Hong Kong, World Publishing Corporation, International Academic Publishers, 2000.
     
  4. J. Cao, N. Murata, S. Amari, A. Cichocki, H. Endo, N. Harada, and T. Takeda, "Independent features analysis for MEG recorded auditory evoked fields task data," in Proceedings of 2000 International Symposium on Nonlinear Theory and Its Applications (NOLTA2000), (Dresden, Germany), pp. 257-260, Sept. 2000.
     
  5. S. Choi, A. Cichocki, and S. Amari, "Local stability analysis of flexible independent component analysis algorithm," in Proceedings of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2000), (Istanbul, Turkey), pp. 3426-3429, IEEE, IEEE Signal Processing Society, June 2000. 
     
  6. S. Choi and A. Cichocki, "Blind separation of nonstationary and temporally correlated sources from noisy mixtures," in Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Signal Processing Society Workshop (NNSP2000), (Sidney, Australia), pp. 405-414, IEEE Signal Processing Society, Dec. 2000. 
     
  7. A. Cichocki, "Semi blind extraction of biomedical signals: Models and learning algorithms," (Brisbane, Australia), Queensland University of Technology, Proceedings Third Australian Workshop on Signal Processing and Applications '2000 (CD-ROM), 2000.
     
  8. A. Cichocki, T. Rutkowski, A. K. Barros, and S. Oh, "A blind extraction of temporally correlated but statistically dependent acoustic signals," in Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Signal Processing Society Workshop (NNSP2000), (Sidney, Australia), pp. 455-464, IEEE Signal Processing Society, Dec. 2000. 
     
  9. A. Cichocki, "Semi blind processing: Models and learning algorithms," in Proceedings of 7th International Conference on Neural Information Processing (ICONIP-2000), (Taejon, Korea), pp. 1353-1358, Brain Science Research Center, KAIST, 2000.
     
  10. A. Cichocki and S. A. Vorobyov, "Application of ICA for automatic noise and interference cancellation in multisensory biomedical signals," in Proceedings of the Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), (Helsinki, Finland), pp. 621-626, Helsinki University of Technology, IEEE Signal Processing Society, June 2000. 
     
  11. A. Cichocki, "Independent component analysis for classification and noise cancellation in multisensory biomedical data," in International Center of Biocybernetics World Health Organization, (Warsaw, Poland), pp. 29-39, Center for Reserch and Training in Biocybernetics and Biomedical Engineering, June 2000.
     
  12. S. A. Cruces-Alvarez, L. Castedo, and A. Cichocki, "Novel blind source separation algorithms using cumulants," in Proceedings of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2000), (Istanbul, Turkey), pp. 3152-3155, IEEE, IEEE Signal Processing Society, June 2000. 
     
  13. S. A. Cruces-Alavarez, A. Cichocki, and L. Castedo, "Blind source extraction in gaussian noise," in Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), (Helsinki, Finland), pp. 63-68, Helsinki University of Technology, IEEE Signal Processing Society, June 2000. 
     
  14. R. R. Gharieb, A. Cichocki, and S. F. Filipowicz, "Adaptive detection and extraction of sparse signals embedded in colored Gaussian noise using higher order statistics," in Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing, (Pocono Manor, Pennsylvania, USA), pp. 631-634, The IEEE Signal Processing Society, Aug. 2000.
     
  15. R. R. Gharieb, Y. Horita, T. Murai, and A. Cichocki, "Unity-gain cumulant-based adaptive line enhancer," in Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing, (Pocono Manor, Pennsylvania, USA), pp. 626-630, The IEEE Signal Processing Society, Aug. 2000.
     
  16. G. Hori, S. Amari, A. Cichocki, Y. Mizuno, Y. Okuma, and K. Aihara, "Using ICA of EEG for judgement of brain death," in Proceedings of 7th International Conference on Neural Information Processing (ICONIP-2000), (Taejon, Korea), pp. 1216-1220, Brain Science Research Center, KAIST, 2000.
     
  17. G. Hori, "A new approach to joint diagonalization," in Proceedings of Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), (Helsinki, Finland), pp. 151-155, Helsinki University of Technology, IEEE Signal Processing Society, June 2000.
     
  18. S. Oh, A. Cichocki, S. Choi, S. Amari, and S. Lee, "Comparison of ICA/BSS algorithms for noisy data," in Proceedings of 7th International Conference on Neural Information Processing (ICONIP-2000), (Taejon, Korea), pp. 1192-1197, Brain Science Research Center, KAIST, 2000.
     
  19. T. Rutkowski, A. Cichocki, and A. K. Barros, "Speech enhancement using adaptive filters and independent component analysis approach," in Proceedings of International Conference on Artificial Intelligence in Science and Technology (AISAT2000), (Hovart, Tasmania), pp. 191-196, The School of Engineering, The University of Tasmania, The University of Tasmania, 2000. 
     
  20. T. Rutkowski, A. Cichocki, and A. K. Barros, "Speech extraction from interferences in real environment using bank of filters and blind source separation," (Brisbane, Australia), Signal Processing Research Centre, Proceedings Third Australian Workshop on Signal Processing and Applications '2000 (CD-ROM), Dec. 2000. 
     
  21. S. A. Vorobyov and A. Cichocki, "Self-excited oscillations and period doubling condition in Hopfield neural network," in Proceedings of 2000 2nd International Conference, Control of Oscillations and Chaos, (St. Petersburg, Russia), pp. 197-200, IEEE, 2000.
     
  22. L. Zhang, S. Amari, and A. Cichocki, "Estimating function approach to multichannel blind deconvolution," in Proceedings of IEEE Asia Pacific Conference on Circuits and Systems (APCCAS2000), (Tianjin, China), pp. 587-590, 2000.
     
  23. L. Zhang and A. Cichocki, "Adaptive blind source separation for tracking active sources of biomedical data," in Proceedings Third Australian Workshop on Signal Processing and Applications '2000 (CD-ROM), (Brisbane, Australia), Signal Processing Research Centre, Queensland University of Technology, 2000.
     
  24. L. Zhang and A. Cichocki, "Natural gradient approach to blind deconvolution of dynamical systems," in Proceedings of the Second International Workshop on Independent Component Analysis and Blind Signal Separation (ICA2000), (Helsinki, Finland), pp. 27-32, Helsinki University of Technology, IEEE Signal Processing Society, June 2000.
     
  25. L. Zhang, A. Cichocki, and S. Amari, "Kalman filter and state-space approach to blind deconvolution," in Neural Networks for Signal Processing X: Proceedings of the 2000 IEEE Signal Processing Society Workshop (NNSP2000), (Sydney, Australia), pp. 425-434, IEEE Signal Processing Society, Dec. 2000.
     
  26. L. Zhang, S. Amari, and A. Cichocki, "Semiparametric approach to multichannel blind deconvolution of nonminimum phase systems," in Advances in Neural Information Processing Systems 12 (S. A. Solla, T. K. Leen, and K.-R. Muller, eds.), (Cambridge, USA), pp. 363-369, MIT Press, 2000.
1999
COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. A. Back and A. Cichocki, "Input variable selection using independent component analysis and higher order statistics," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 203-208, Jan. 1999.
     
  2. A. Barros and N. Ohnishi, "Removal of quasi-periodic sources from physiological measurements," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 185-190, Jan. 1999.
     
  3. Y. V. Bodyanskiy and S. A. Vorobyov, "Artificial neural network for digital analysis of nonstationary sequences spectral composition," in Proceedings of 6th Saint Petersburg Symposium on Adaptive Systems Theory, (Saint Petersburg, Russia), pp. 33-37, SPAS'99, Sept. 1999. (in Russian).
     
  4. Y. V. Bodyanskiy, S. A. Vorobyov, and A. Stephan, "Detection of NARMA-sequence order using recurrent artificial neural networks," in European Control Conference (ECC'99), (Karlsruhe, Germany), European Control Society, IEEE, Sept. 1999.
     
  5. J. Cao, N. Murata, and S. Amari, "Independent source separation and localization for single-trial magnetoencephalographic data," in Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications (NOLTA'99), (Hawaii, USA), pp. 719-722, TAF, SCAT, and ICF, Nov. 1999.
     
  6. S. Choi, Y. Lyu, F. Berthommier, H. Glotin, and A. Cichocki, "Blind separation of delayed and superimposed acoustic sources: Learning algorithm and experimental study," in Proceedings of International Conference on Signal Processing (ICSP'99), (Seoul, Korea), pp. 109-113, ICSP'99, Aug. 1999. 
     
  7. S. Choi and A. Cichocki, "A hybrid learning approach to blind deconvolution of MIMO systems," in Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), (Caesarea, Israel), pp. 292-295, IEEE Israel Section, etc., IEEE Computer Society, June 1999.
     
  8. S. Choi, A. Cichocki, and S. Amari, "Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution," in Proceedings of 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99), (Pohenix, Arizona, USA), pp. 1085-1088, IEEE, Mar. 1999. 
     
  9. S. Choi, S. Amari, A. Cichocki, and R. Liu, "Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 371-376, Jan. 1999. 
     
  10. S. Choi, A. Cichocki, and S. Amari, "Fetal electrocardiogram data analysis via flexible independent component analysis," in The 4th Asia Pacific Conference on Medical and Biological Engineering (APCMBE'99), Sept. 1999.
     
  11. A. Cichocki, S. A. Vorobyov, and T. Rutkowski, "Nonlinear interference cancellation using neural networks," in Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications (NOLTA'99), (Hawaii, USA), pp. 875-878, Nov. 1999.
     
  12. A. Cichocki and A. K. Barros, "Robust batch algorithm for sequential blind extraction of noisy biomedical signals," in Proceedings of the Fifth International Symposium on Signal Processing and its Applications (ISSPA'99), vol. 1, (Brisbane, Queensland, Australia), pp. 363-366, Aug. 1999.
     
  13. A. Cichocki, J. Cao, S. Amari, N. Murata, T. Takeda, and H. Endo, "Enhancement of magnetoencephalographic signals using independent component analysis," in Recent Advances in Biomagnetism, (Sendai, Japan), pp. 169-172, Tohoku University Press, 1999.
     
  14. A. Cichocki and L. Zhang, "Adaptive multichannel blind deconvolution using state-space models," in Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics (HOS'99), (Caesarea, Israel), pp. 296-299, IEEE Israel Section Tel Aviv Unviersity The Technion, IEEE Computer Society, June 1999.
     
  15. A. Cichocki, L. Zhang, and T. Rutkowski, "Blind separation and filtering using state space models," in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS'99), vol. V, (Orlando, Florida, USA), pp. 78-81, 1999.
     
  16. A. Cichocki, L. Zhang, S. Choi, and S. Amari, "Nonlinear dynamic independent component analysis using state-space and neural network models," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 99-104, Jan. 1999.
     
  17. S. A. Cruces-Alvarez, L. Castedo, and A. Cichocki, "An iterative inversion method for blind source separation," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 307-312, Jan. 1999. 
     
  18. A. Date, E. Bienenstock, and S. Geman, "A statistical technique for the detection of fine temporal structure in multi-neuronal spike trains," in New Frontiers In Brain Science, the RIKEN-MIT Neuroscience Symposium, (Cambridge, USA), Oct. 1999.
     
  19. A. Date, E. Bienenstock, and S. Geman, "A statistical technique for the detection of fine temporal structure in multi-neuronal spike trains," in Society for Neuroscience 29th Annual Meeting, (Miami Beach, USA), Society for Neuroscience, Oct. 1999.
     
  20. M. Girolami, "Hierarchic dichotomizing of polychotomous data-an ICA based data mining tool," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 197-201, 1999.
     
  21. G. Hori, "Joint diagonalization and matrix differential equations," in Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications (NOLTA'99), (Hawaii, USA), pp. 675-678, Nov. 1999. 
     
  22. N. Iannella and A. D. Back, "A spiking neural network architecture for nonlinear function approximation," in Neural Networks for Signal Processing IX (Proceedings of the 1999 IEEE Workshop) (J. Larsen, H. Y.-H., E. Wilson, and S. Douglas, eds.), (Madison, Wisconsin, USA), pp. 139-146, IEEE, IEEE, Aug. 1999.
     
  23. O. Jahn, A. Cichocki, A. A. Ioannides, and S. Amari, "Identification and elimination of artifacts from MEG signals using efficient independent component analysis," in Recent Advances in Biomagnetism, Proceedings of the 11th International Conference on Biomagnetism (T. Yoshimoto, M. Kotani, S. Kuriki, H. Karibe, and N. Nakasato, eds.), (Sendai, Japan), pp. 224-227, Tohoku University Press, 1999.
     
  24. L. Zhang, A. Cichocki, and S. Amari, "Multichannel blind deconvolution of non-minimum phase systems using information backpropagation," in Proceedings of 6th International Conference on Neural Information Processing (ICONIP'99) (T. Gedeon, P. Wong, S. Halgamuge, N. Kasabov, D. Nauck, and K. Fukushima, eds.), (Perth, Australia), pp. 210-216, APNNA, IEEE, Nov. 1999. 
     
  25. L. Zhang, A. Cichocki, and S. Amari, "Semiparametric approach to blind separation of dynamic systems," in Proceedings of 1999 International Symposium on Nonlinear Theory and its Applications (NOLTA'99) (H. Takakubo, T. Kohda, and L. Trajkovic, eds.), (Hawaii, USA), pp. 707-710, TAF, SCAT, and ICF, Nov. 1999. 
     
  26. L. Zhang, A. Cichocki, and S. Amari, "Geometrical structures of FIR manifold and their application to multichannel blind deconvolution," in Neural Networks for Signal Processing IX (Proceedings of the 1999 IEEE Workshop) (J. Larsen, H. Y.-H., E. Wilson, and S. Douglas, eds.), (Madison, Wisconsin, USA), pp. 303-312, IEEE, IEEE, Aug. 1999. 
     
  27. L. Zhang and A. Cichocki, "Blind separation of filtered sources using state-space approach," in Advances in Neural Information Processing Systems (M. S. Kearns, S. A. Solla, and D. A. Cohn, eds.), (Cambridge, USA), pp. 648-654, The MIT Press, 1999.
     
  28. L. Zhang, S. Amari, and A. Cichocki, "Natural gradient approach to blind separation of over- and under-complete mixtures," in Proceedings of First International Workshop on Independent Component Analysis and Signal Separation (ICA'99), (Aussois, France), pp. 455-460, Jan. 1999.
     
  29. L. Zhang, S. Amari, and A. Cichocki, "Semiparametric approach for blind deconvolution of nonminimum phase systems," in Neural Information Processing Systems - Natural and Synthetic (NIPS'99), (Denver, USA), NIPS Foundation, Dec. 1999. 
     
  30. T. Zhang, L. Zhang, and A. Cichocki, "Analysis of vibrotactile driving responses by blind separation into independent components," in Proceedings of 1999 International Symposium on Signal Processing and Intelligent System (ISSPIS'99), (Guangzhou, China), pp. 1-6, Sounth China University of Technology Press, 1999.
1998
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  1. M. Adachi and K. Aihara, "Stability analysis of associative chaotic neural networks with synchronous and asynchronous updating rules," in Proceedings of International Workshop on Synchronization, Pattern Formation and Spatio-Temporal Chaos in Coupled Chaotic Oscillators, pp. 38-, 1998.
     
  2. M. Adachi and K. Aihara, "Complex dynamics of chaotic neural networks with an asynchronous updating," in Proceeding of Third International Symposium on Artificial Life and Robotics (AROB'98), pp. 332-335, Oita University, 1998.
     
  3. S. Amari, S. C. Douglas, and A. Cichocki, "Information geometry of blind source deconvolution," in Mathematical Theory of Networks and Systems, (Padova, Italy), July 1998.
     
  4. A. Back and A. Weigend, "What drives stock returns? :an independent component analysis," in Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering (CIFEr), pp. 141-156, 1998.
     
  5. A. K. Barros and A. Cichocki, "A fixed point algorithm for independent component analysis which use a priori information," in V-th Brazilian Symposium on Neural Networks, (Brazil), Dec. 1998.
     
  6. J. Cao, N. Murata, S. Amari, A. Cichocki, and T. Takeda, "MEG data analysis based on ICA approach with pre- & post-processing techniques," in Proceedings of 1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98), vol. 1, (Crans-Montana, Switzerland), pp. 287-290, Presses Polytechniques et Universitaires Romandes, Sept. 1998.
     
  7. S. Choi and A. Cichocki, "On-line sequential multichannel blind deconvolution, a deflation approach," in DSP Workshop, (Utah, USA), pp. 159-162, 1998. 
     
  8. S. Choi, A. Cichocki, and S. Amari, "Flexible independent component analysis," in Proceedings of the 1998 IEEE Workshop on NNSP (Neural Networks for Signal Processing VIII), (Cambridge, UK), pp. 83-92, IEEE Press, Aug. 1998. 
     
  9. S. Choi, A. Cichocki, and S. Amari, "Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule," in Proceedings of the 1998 IEEE Workshop on NNSP (Neural Networks for Signal Processing VIII), (Cambridge, UK), pp. 93-102, IEEE Press, Aug. 1998. 
     
  10. A. Cichocki, L. Zhang, and S. Amari, "Semi-blind and state-space approaches to nonlinear dynamic independent component analysis," in Proceedings of 1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98), vol. 1, (Crans-Montana, Switzerland), pp. 291-294, Presses Polytechniques et Universitaires Romandes, Sept. 1998.
     
  11. A. Cichocki, S. Douglas, S. Amari, and P. Mierzejewski, "Independent component analysis for noisy data," in Proceedings of the International ICSC Workshop on Independence & Artificial Neural Networks (I&ANN'98), (Tenerife), pp. 52-58, ICSC/Acedmic Press, Feb. 1998.
     
  12. A. Cichocki, I. Sabala, and S. Amari, "Intelligent neural networks for blind signal separation with unknown number of sources," in Proceedings of the International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), (Tenerife), pp. 148-154, ICSC/Academic Press, Feb. 1998.
     
  13. A. Cichocki and L. Zhang, "Two-stage blind deconvolution using state-space models," in Proceedings of The Fifth International Conference on Neural Information Processing (ICONIP'98), vol. 2, (Kitakyushu, Japan), pp. 729-732, Oct. 1998. (invited paper).
     
  14. A. Cichocki and J. Cao, "A self-adaptive neural network for on-line blind separation of convolved sources," in Proceedings of III International Workshop-Advances in Signal Processing for NDE of Materials (B. B. Djordjevic and H. D. Reis, eds.), vol. 3, (Quebeck), pp. 207-212, 1998.
     
  15. S. A. Cruces-Alvarez, A. Cichocki, and L. Castedo, "An unified perspective of blind source separation algorithms," in Proceedings of the Learning'98, (Madrid, Spain), Sept. 1998. (ISBN: 84-89315-11-6). 
     
  16. S. C. Douglas and A. Cichocki, "Adaptive step size techniques for decorrelation and blind source separation," in Proceedings of 32nd Asilomar Conference on Signals, Systems, and Computers, vol. 2, (Pacific Grove, California, USA), pp. 1191-1195, Nov. 1998. 
     
  17. M. Girolami, "Noise reduction and speech enhancement via temporal anti-Hebbian learning," in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'98), vol. 2, (Seattle, Washington, USA), pp. 1233-1236, 1998.
     
  18. I. Sabala, A. Cichocki, and S. Amari, "Relationships between instantaneous blind source separation and multichannel blind deconvolution," in Proceedings of International Joint Conference on Neural Networks, (Alaska, USA), pp. 148-152, May 1998.
     
  19. L. Zhang and A. Cichocki, "Blind deconvolution/equalization using state-space models," in Neural Networks for Signal Processing VIII, (Cambridge, UK), pp. 123-131, THE IEEE Signal Processing Society Workshop on Neural Networks for Signal Proces, IEEE, Aug. 1998. 
     
  20. L. Zhang and A. Cichocki, "Information backpropagation learning algorithm for blind dynamic separation," in Proceedings of the IASTED International Conference on Signal and Image Processing (SIP'98), (Las Vegas, USA), pp. 3-7, the International Association of Science and Technology for Development, IASTED/ACTA Press, Oct. 1998.
     
  21. L. Zhang and A. Cichocki, "Blind separation/deconvolution of sources using canonical stable space models," in Proceedings of 1998 International Symposium on Nonlinear Theory and Its Applications (NOLTA'98), vol. 3, (Crans-Montana, Switzerland), pp. 927-930, Presses Polytechniques et Universitaires Romandes, Sept. 1998.
     
  22. L. Zhang and A. Cichocki, "Blind separation of filtered source using state-space approach," in Neural Information Processing Systems, NIPS'98, (Denver, USA), Dec. 1998. 
1997
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  1. M. Adachi and K. Aihara, "Influence of updating rules on retrievals in associative chaotic neural networks," in Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications (NOLTA'97), (Hawaii, USA), pp. 645-648, Research Society of Nonlinear Theory and its Applications, Dec. 1997.
     
  2. M. Adachi and K. Aihara, "Associative chaotic neural networks with asynchronous updating: Winner updates faster," in Progress in Connectionist-Based Information Systems:Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97), (Dunedin, New Zealand), pp. 190-193, Asian Pacific Neural Network Assembly, Springer, Nov. 1997.
     
  3. S. Amari, T. Chen, and A. Cichocki, "Non-holonomic constraints in learning blind source separation," in Progress in Connectionist-Based Information Systems: Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97) (N. Kasabov, ed.), (New Zealand), pp. 633-636, Springer, Nov. 1997.
     
  4. S. Amari, S. C. Douglas, A. Cichocki, and H. H. Yang, "Multichannel blind deconvolution and equalization using the natural gradient," in Proceedings of IEEE International Workshop on Wireless Communication, (Paris, France), pp. 101-104, Apr. 1997. 
     
  5. S. Amari, S. C. Douglas, A. Cichocki, and H. H. Yang, "Novel on-line adaptive learning algorithms for blind deconvolution using the natural gradient approach," in Proceedings of 11th IFAC Symposium on System Identification (SYSID'97), (Kitakyushu, Japan), pp. 1057-1062, July 1997. 
     
  6. A. D. Back, "Multiple and time-varying dynamic modeling capabilities of recurrent neural networks," in Neural Networks for Signal Processing 7, pp. 121-130, IEEE Press, 1997.
     
  7. A. D. Back and T. P. Chen, "Approximation of hybrid systems by neural networks," in Proceedings of 1997 International Conference on Neural Information Processing, pp. 326-329, Springer-Verlag, 1997.
     
  8. A. Back and A. Cichocki, "Blind source separation and deconvolution of fast sampled signals," in Progress in Connectionist-Based Information Systems: Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97) (N. Kasabov, ed.), (New Zealand), pp. 637-640, Springer, Nov. 1997.
     
  9. A. Back, B. G. Horne, A. C. Tsoi, and C. L. Giles, "Low sensitivity time delay neural networks with cascade form structure," in Proceedings of IEEE Workshop on Neural Networks for Signal Processing 7, pp. 44-53, IEEE Press, 1997.
     
  10. A. D. Back and A. S. Weigend, "Discovering structure in finance using independent component analysis," in Proceedings of Computational Finance 97, 1997.
     
  11. J. Cao and A. Cichocki, "Blind source separation algorithm based on 4th-order self- and cross-cumulants criterion applied for EEG data analysis," in Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications (NOLTA'97), vol. 2, (Hawaii, USA), pp. 1005-1008, Dec. 1997.
     
  12. J. Cao and A. Cichocki, "On-line blind sources separation algorithms for SIMO blind equalization systems," in Proceedings of 12th Digital Signal Processing Symposium, (Hiroshima, Japan), pp. 351-356, Nov. 1997.
     
  13. S. Choi, "Source separation and independent component analysis via unsupervised learning: information-theoretic approach and conditions on cross-cumulants," in The 6th Joint Conference and Exhibition Artificial Intelligence, Neural Networks, and Fuzzy Systems, (Seoul, Korea), pp. 183-188, June 1997.
     
  14. S. Choi, S. Amari, and A. Cichocki, "Natural gradient learning algorithms for decorrelation," in Progress in Connectionist-Based Information Systems (Proceedings of the 1997 International Conference on Neural Information Processing) (ICONIP'97), vol. 1, (Dunedin, New Zealand), pp. 645-648, Nov. 1997.
     
  15. S. Choi and A. Cichocki, "A linear feedforward neural network with lateral feedback connections for blind source separation," in IEEE Signal Processing Workshop on Higher-order Statistics, (Banff, Canada), pp. 349-353, July 1997.
     
  16. S. Choi and A. Cichocki, "Adaptive blind separation of speech signals: Cocktail party problem," in International Conference on Speech Processing (ICSP'97), (Seoul, Korea), pp. 617-622, Aug. 1997. 
     
  17. S. Choi and A. Cichocki, "Blind signal deconvolution by spatio-temporal decorrelation and demixing," in Proceedings of the 1997 IEEE Workshop on Neural Networks for Signal Processing VII (J. Principe, L. Gile, N. Morgan, and E. Wilson, eds.), pp. 426-435, 1997. 
     
  18. S. Choi, A. Cichocki, and S. Amari, "Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach," in Progress in Connectionist-Based Information Systems (Proceedings of the 1997 International Conference on Neural Information Processing) (ICONIP'97), vol. 1, (Dunedin, New Zealand), pp. 641-644, Nov. 1997.
     
  19. S. Choi and R. Liu, "A learning algorithm for the separation of non-zero skewness signals with no spurious equilibria," in The Fifth European Symposium on Artificial Neural Networks (ESANN'97), (Bruges, Belgium), pp. 249-254, Apr. 1997. 
     
  20. S. Choi, H. Luo, and R. Liu, "An adaptive system for direct blind multi-channel equalization," in The First Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC'97), (Paris, France), pp. 85-88, Apr. 1997.
     
  21. T. Cholewo, J. Zurada, and A. Cichocki, "Exact gradient calculation in gamma neural networks," in Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications, vol. 2, pp. 767-770, 1997.
     
  22. A. Cichocki, "Blind separation and extraction of source signals - recent results and open problems," in Proceedings of the 4-th Annual Conference of the Institute of Systems, Control and Information Engineers, ISCIIE, (Osaka, Japan), pp. 43-48, May 1997.
     
  23. A. Cichocki, J. Cao, and I. Sabala, "On-line adaptive algorithms for blind equalization of multi-channel systems," in Progress in Connectionist-Based Information Systems: Proceedings of The Fourth International Conference on Neural Information Processing (ICONIP'97) (N. Kasabov, ed.), (New Zealand), pp. 649-652, Springer, Nov. 1997.
     
  24. A. Cichocki, B. Orsier, A. Back, and S. Amari, "On-line adaptive algorithms in non-stationary environments using a modified conjugate gradient approach," in Proceedings of the 1997 IEEE Workshop on Neural Networks for Signal Processing VII, pp. 316-325, N.Y. Press, Sept. 1997.
     
  25. A. Cichocki, I. Sabala, S. Choi, B. Orsier, and R. Szupiluk, "Self-adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with an unknown number of sources and additive noise," in Proceedings of 1997 International Symposium on Nonlinear Theory and Its Applications (NOLTA'97), vol. 2, (Hawaii, USA), pp. 731-734, Dec. 1997.
     
  26. A. Cichocki, R. Thawonmas, and S. Amari, "On-line blind signal extraction methods exploiting a priori knowledge of the previously extracted signals," in Proceedings of the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, (Michigan, USA), Sept. 1997.
     
  27. A. Cichocki, R. Thawonmas, and S. Amari, "Dual cascade networks for blind signal extraction," in Proceedings of International Conference on Neural Networks (ICNN'97), vol. 4, (Houston), pp. 2135-2140, 1997. 
     
  28. S. C. Douglas, A. Cichocki, and S. Amari, "Multichannnel blind separation and deconvolution of sources with arbitrary distributions," in Proceedings of the 1997 IEEE Workshop on Neural Networks for Signal Processing VII (NNSP'97), pp. 436-445, N.Y. IEEE Press, Sept. 1997. 
     
  29. S. C. Douglas, A. Cichocki, and S. Amari, "Quasi-Newton filtered-error and filtered-regressor algorithms for adaptive equalization and deconvolution," in IEEE Workshop Signal Proc. Adv. Wireless Comm., (Paris, France), pp. 109-112, Apr. 1997. 
     
  30. S. Lawrence, A. D. Back, A. C. Tsoi, and C. L. Giles, "The Gamma MLP - using multiple temporal resolutions for improved classification," in Neural Networks for Signal Processing 7, (N.Y., USA), pp. 256-265, IEEE Press, 1997.
     
  31. T. Lobos, A. Cichocki, P. Kostyla, and Z. Waclawek, "Adaptive on-line learning algorithm for robust estimation of parameters of noisy sinusoidal signals," in Proceedings of 7th International Conference on Artificial Neural Networks (ICANN'97), (Lausanne, Switzerland), pp. 1193-1198, Artificial Neural Networks-ICANN'97 Secretariat, Springer-Verlag, Oct. 1997.
     
  32. S. Osowski, A. Cichocki, and Tran Hoai Linh, "Signal flow graphs in application to recurrent neural networks learning," in The 1997 European Conference on Circuit Theory and Design (ECCTD'97), (Budapest, Hungary), pp. 1092-1097, Sept. 1997.
     
  33. S. Osowski, A. Majkowski, and A. Cichocki, "Robust PCA neural networks for random noise reduction of the data," in Proceedings of 1977 International Conference on Acoustic, Speech and Signal Processing, (Munich, Germany), pp. 3397-3400, 1997.     
     
  34. R. Thawonmas, S. Abe, and A. Cichocki, "A fuzzy function approximator based on partitioned hyperboxes," in Joint Pacific Asian Conference on Expert Systems/Singapore International Conference on Intelligent Systems - PACES/SPICIS'97, (Singapore), pp. 537-544, Feb. 1997.      
     
  35. R. Thawonmas and A. Cichocki, "Blind extraction of source signals with specified stochastic features," in Proceedings of 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'97), vol. 4, pp. 3353-3356, 1997.     
     
  36. H. H. Yang, S. Amari, and A. Cichocki, "Information back-propagation for blind separation of sources in non-linear mixture," in Proceedings of International Conference on Neural Networks (ICNN'97), vol. 4, (Houston, Texas, USA), pp. 2141-2146, June 1997.
1996
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  1. S. Abe and R. Thawonmas, "Fast training of a fuzzy classifier with ellipsoidal regions," in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'96), vol. III, (New Orleans, LA, USA), pp. 1875-1880, 1996.
     
  2. M. Adachi, K. Aihara, and A. Cichocki, "Separation of mixed patterns by a chaotic neural network," in International Symposium on Nonlinear Theory and its Applications (NOLTA'96), pp. 93-96, IEICE, Research Society on NTA, Oct. 1996.
     
  3. A. D. Back and A. C. Tsoi, "Aspects of adaptive learning algorithms for FIR feedforward networks," in Progress in Neural Information Processing (ICONIP'96), vol. 2, (Hong Kong), pp. 1311-1316, Springer-Verlag Singapore Ltd, Sept. 1996.
     
  4. A. D. Back and A. C. Tsoi, "A cascade neural network model with nonlinear poles and zeros," in Progress in Neural Information Processing (ICONIP'96), vol. 1, (Hong Kong), pp. 486-491, Springer-Verlag Singapore Ltd, Sept. 1996.
     
  5. A. Belouchrani, A. Cichocki, and K. Abed Meraim, "A blind identification and separation technique via multi-layer neural networks," in Progress in Neural Information Processing (ICONIP'96), vol. 2, (Hong Kong), pp. 1195-1200, Springer-Verlag Singapore Ltd, Sept. 1996. 
     
  6. J. Cao, S. Amari, and A. Cichocki, "Self-scaling and self-adaptive neural networks for on-line nonlinear dynamical systems identification," in Proceedings of 1996 International Symposium on Multi-Technology Information Processing (ISMIP-96), (Taiwan), pp. 499-504, Dec. 1996.
     
  7. J. Cao and A. Cichocki, "A simplified architecture for nonlinear recurrent neural filter," in Progress in Neural Information Processing (ICONIP'96), vol. 1, (Hong Kong), pp. 514-519, Springer-Verlag Singapore Ltd, Sept. 1996.
     
  8. E. S. Chng, H. H. Yang, and H. Wiklicky, "Adaptive local radial basis function network for nonstationary channel equalization problem," in Progress in Neural Information Processing (ICONIP'96), vol. 1, (Hong Kong), pp. 322-327, Springer-Verlag Singapore Ltd, Sept. 1996.
     
  9. A. Cichocki, S. Amari, and J. Cao, "Blind separation of delayed and convolved signals with self-adaptive learning rate," in 1996 IEEE International Symposium on Nonlinear Theory and its Applications (NOLTA'96), (Kochi, Japan), pp. 229-232, Oct. 1996.
     
  10. A. Cichocki, S. Amari, and R. Thawonmas, "Blind signal extraction using self-adaptive non-linear Hebbian learning rule," in International Symposium on Nonlinear Theory and its Applications (NOLTA'96), (Kochi, Japan), pp. 377-380, Oct. 1996.
     
     
  11. A. Cichocki, W. Kasprzak, and S. Amari, "Adaptive approach to blind source separation with cancellation of additive and convolutional noise," in 3rd International Conference on Signal Processing (ICSP'96), vol. I, pp. 412-415, PHEI Beijing, IEEE Press, Sept. 1996. 
     
  12. A. Cichocki, W. Kasprzak, and S. Amari, "Neural network approach to blind separation and enhancement of images," in Signal Processing VIII. Theories and Applications, vol. I, (Trieste, Italy), pp. 579-582, EURASIP/LINT Publ., Sept. 1996.
     
  13. A. Cichocki, W. Kasprzak, and W. Skarbek, "Adaptive learning algorithm for principal component analysis with partial data," in Cybernetics and Systems '96. 13-th European Meeting on Cybernetics and Systems Research, (Vienna, Austria), pp. 1014-1019, Austrian Society for Cybernetic Studies, 1996. 
     
  14. A. Cichocki, R. Swiniarski, and R. Bogner, "Hierarchical neural network for robust PCA computation of complex valued signals," in Proceedings of World Congress on Neural Networks (WCNN'96), (San Diego, USA), pp. 818-821, International Neural Network Society, Sept. 1996. 
     
  15. A. Cichocki, S. Amari, M. Adachi, and W. Kasprzak, "Self-adaptive neural networks for blind separation of sources," in Proceedings of 1996 IEEE International Symposium on Circuit and Systems, vol. 2, pp. 157-160, May 1996. 
     
  16. A. Cichocki, P. Kostyla, T. Lobos, and Z. Waclawek, "Adaptive neural networks for robust estimation of parameters of noisy harmonic signals," in Signal Processing VIII. Theories and Applications, vol. I, (Trieste, Italy), pp. 220-223, EURASIP/LINT Publ., 1996.
     
  17. S. C. Douglas and A. Cichocki, "Convergence analysis of local algorithms for blind signal processing," in Neural Information Processing Systems Conference, Workshop on Blind Signal Processing, (Denver, CO, USA), Dec. 1996. 
     
  18. R. Foltyniewicz and A. Cichocki, "Higher order neural networks with wavelets preprocessing for face recognition," in World Congress on Neural Networks (WCNN'96), (San Diego, USA), pp. 919-922, International Neural Network Society, INNS Press & Lawrence Erlbaum Associates Inc. Publ., Sept. 1996.
     
  19. W. Kasprzak and H. Niemann, "Applying a dynamic recognition scheme for vehicle recognition in many object traffic scenes," in IAPR Workshop on Machine Vision Applications (MVA'96), (Tokyo, Japan), pp. 212-215, Nov. 1996. 
     
  20. W. Kasprzak and A. Cichocki, "Recurrent least squares learning for quasi-parallel principal component analysis," in ESANN'96, (Brussels), pp. 223-228, D'facto Publ., 1996. 
     
  21. W. Kasprzak and A. Cichocki, "Hidden image separation from incomplete image mixtures by independent component analysis," in 13th International Conference on Pattern Recognition (ICPR'96), vol. II, (Los Alamitos, California, USA), pp. 394-398, IEEE Computer Society Press, Aug. 1996. 
     
  22. A. Kowalczyk, "Models of generalization error in learning systems with training error selection," in Progress in Neural Information Processing (ICONIP'96), vol. 1, (Hong Kong), pp. 180-187, Springer-Verlag Singapore Ltd, Sept. 1996.
     
  23. A. Krzyzak and A. Cichocki, "On the convergence of the recursive radial basis function networks," in World Congress on Neural Networks (WCNN'96), (San Diego, USA), pp. 239-243, International Neural Network Society, INNS Press & Lawrence Erlbaum Associates Inc. Publ., Sept. 1996.
     
  24. S. Lawrence, A. C. Tsoi, and A. D. Back, "The Gamma MLP for speech phoneme recognition," in Advances in Neural Information Processing Systems 8, pp. 785-791, MIT Press, 1996.
     
  25. M. J. Ogorzalek, Z. Galias, and A. Cichocki, "Study of noise influence on self-organization phenomena in chaotic neural networks," in 1996 IEEE International Symposium on Circuits and Systems (ISCAS'96), vol. 3, (Piscataway, NJ, USA), pp. 87-91, IEEE, 1996.
     
  26. M. J. Ogorzalek and M. Adachi, "Control strategies for spatio-temporal systems and neural networks," in 1996 IEEE International Symposium on Circuits and Systems (ISCAS'96), vol. 3, (Piscataway, NJ, USA), pp. 9-12, IEEE, 1996.
     
  27. S. Osowski and A. Cichocki, "SFG approach to the sensitivity determination of dynamic recurrent systems," in World Congress on Neural Networks (WCNN'96), (San Diego, USA), pp. 256-259, International Neural Network Society, INNS Press & Lawrence Erlbaum Associates Inc. Publ., Sept. 1996. 
     
  28. S. Osowski and A. Cichocki, "Application of SFG in learning algorithms of neural networks," in 1996 International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP'96), (Venice, Italy), pp. 75-84, Aug. 1996. 
     
  29. S. Osowski, A. Cichocki, and Tran Hoai Linh, "Learning in recurrent neural dynamic systems using signal flow graphs," in Krajowa Konferencja Teorii Obwodow i Ukladow Elektronicznych (KKTOiUE), (Karpacz), pp. 669-674, 1996.
     
  30. W. Skarbek, M. Ghuwar, and K. Ignasiak, "Character classification by projections into KLT subspaces," in Proceedings of 8th Portuguese Conference on Pattern Recognition (RECPAD'96), (Guimaraes), pp. 223-226, Mar. 1996.
     
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  32. W. Skarbek, K. Ignasiak, and M. Ghuwar, "Fractal representation of planar shapes," in 6th Conference on Discrete Geometry for Computer Imagery (6th DGCI), (Lyon, France), pp. 128-133, Nov. 1996.
     
  33. W. Skarbek, "Local principal components analysis for transform coding," in International Symposium on Nonlinear Theory and its Applications (NOLTA'96), pp. 381-384, IEICE, Research Society on NTA, Oct. 1996. 
     
  34. W. Skarbek, "Autoassociative local neural networks for face recognition," in International Symposium on Nonlinear Theory and its Applications (NOLTA'96), pp. 413-416, IEICE, Research Society on NTA, Oct. 1996.
     
  35. S. Tan, A. C. Tsoi, A. D. Back, and A.-K. Chan, "A new worst-case training algorithm for RBF neural networks," in Proceedings of 1996 International Conferenece on Neural Information Processing, (Hong Kong), pp. 174-179, 1996.
     
  36. R. Thawonmas and S. Abe, "A fuzzy classifier based on partitioned hyperboxes," in Proceedings of the 1996 IEEE International Conference on Neural Networks (ICNN'96), vol. II, (Washington, DC, USA), pp. 1097-1102, 1996.
1995
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  1. M. Adachi, "Controlling a simple chaotic neural network using response to perturbation," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 989-992, NTA Research Society of IEICE, Dec. 1995.
     
  2. S. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation," in Advances in Neural Information Processing Systems 1995, vol. 8, (Cambridge, MA), pp. 757-763, MIT Press, 1995.
     
  3. S. Amari, A. Cichocki, and H. H. Yang, "Recurrent neural networks for blind separation of sources," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 37-42, NTA Research Society of IEICE, Dec. 1995. 
     
  4. A. Cichocki, W. Kasprzak, and S. Amari, "Multi-layer neural networks with a local adaptive learning rule for blind separation of source signals," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 61-65, NTA Research Society of IEICE, Dec. 1995. 
     
  5. A. Cichocki, R. Bogner, and L. Moszczynski, "Improved adaptive algorithms for blind separation of sources," in Proceedings of Conference on Electronic Circuits and Systems, (Zakopane, Poland), pp. 647-652, Oct. 1995.
     
  6. M. Ghuwar, K. Ignasiak, and W. Skarbek, "Planar shape modeling using fractal operator," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 739-742, NTA Research Society of IEICE, Dec. 1995.
     
  7. M. J. Ogorzalek, Z. Galias, A. Dabrowski, and W. Dabrowski, "Patterns of activity and self-organization phenomena in arrays of coupled chaotic circuits," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 459-464, NTA Research Society of IEICE, Dec. 1995.
     
  8. W. Skarbek and A. Cichocki, "Gray scale image representation by recurrent vector neural network," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 555-558, NTA Research Society of IEICE, Dec. 1995.
     
  9. W. Skarbek and E. Stemposz, "On convergence of spatial signal OR-graphs," in International Symposium on Nonlinear Theory and its Applications (NOLTA'95), (Las Vegas), pp. 743-746, NTA Research Society of IEICE, Dec. 1995.
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