Selected List of publications devoted to Tensor Factorizations, Decompositions and Multiway Analysis



  1. A. Cichocki, R. Zdunek, A.H. Phan and S. Amari. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation.. Wiley, 470 pages, September 2009. [bibTeX].


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


  3. A.H. Phan P. Tichavsky and A. Cichocki. On Fast Computation of Gradients for CANDECOMP/PARAFAC Algorithms . arXiv:1204.1586 (submitted) (2012). [bibTeX].


  4. A.H. Phan P. Tichavsky and A. Cichocki. Low Complexity Damped Gauss-Newton Algorithms for CANDECOMP/PARAFAC arXiv:1205.2584 Accepted for publication in SIAM Journal on Matrix Analysis and Applications (SIMAX), Nov. (2012).). [bibTeX].


  5. Q. Zhao, C.F. Caiafa, D. P. Mandic, Z.C. Chao, Y. Nagasaka, N. Fujii, L. Zhang and A. Cichocki. Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method . arXiv:1207.1230. (accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) November (2012). [bibTeX].


  6. Q. Zhao, C. F. Caiafa, D. P. Mandic, L. Zhang, T. Ball, A. Schulze-Bonhage, A. Cichocki. Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach . Advances in Neural Information Processing systems 24 (NIPS), pp.1269-1277, 2011. [bibTeX]. .


  7. Zhou G., Cichocki A., Xie S.Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation. IEEE Transaction on Signal Processing 60 (6), 2928-2940 (2012). [bibTeX]


  8. Zhou G., Cichocki A.Fast and unique Tucker decompositions via Multiway Blind Source Separation. Bulletin of Polish Academy of Science, 389-407, vol. 60, no 3, 2012. [bibTeX]


  9. C.-F. V. Latchoumane, F.-B Vialatte, J. Sole-Casals, M. Maurice, S. Wimalaratna, N. Hudson, J. Jeong and A. Cichocki. Multiway Array Decomposition Analysis of EEGs in Alzheimer's Disease . Journal of Neuroscience Methods, vol. 207, pp 41-50, 2012. [bibTeX]


  10. Cong F, Phan A-H, Astikainen P, Zhao Q, Hietanen J, Ristaniemi T, Cichocki A. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs 14 Electrodes EEG Data . Lecture Notes in Computer Science 7191, 502-510 (2012). [bibTeX]


  11. Fengyu Cong, Asoke K. Nandi, Zhaoshui He, Andrzej Cichocki, Tapani Ristaniemi. Fast and Effective Model Order Selection Method to Determine the Number of Sources in a Linear Transformation Model . The 2012 European Signal Processing Conference (EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012 (Accepted for publication). [bibTeX]


  12. Fengyu Cong, Anh Huy Phan, Qibin Zhao, Asoke K. Nandi, Vinoo Alluri, Petri Toiviainen, Hanna Poikonen, Minna Huotilainen, Andrzej Cichocki, Tapani Ristaniemi. Analysis of Ongoing EEG Elicited by Natural Music Stimuli Using Nonnegative Tensor Factorization . The 2012 European Signal Processing Conference (EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012 (Accepted for publication). [bibTeX]


  13. G. Zhou and A. Cichocki. Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation. IEEE Signal Processing Letters (2012) (in print). [bibTeX]


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


  15. Phan A-H, Cichocki A, Tichavsky P, Mandic D, Matsuoka K. On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach . Lecture Notes in Computer Science 7191, 297-305 (2012). [bibTeX].


  16. Cichocki A. Tensors Decompositions: New Concepts for Brain Data Analysis? Journal of Control, Measurement, and System Integration (SICE) 7, 507-517 (invited paper 2011). [bibTeX].


  17. Cichocki A, Cruces S, Amari S. Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization .Entropy 13, 134-170 (2011). [bibTeX].


  18. Phan A-H, Cichocki A. Seeking an Appropriate Alternative Least Squares Algorithm for Nonnegative Tensor Factorizations. . Neural Computing and Applications (online 2012). [bibTeX].


  19. Phan A-H, Cichocki A. PARAFAC Algorithms for Large-scale Problems . Neurocomputing, 74, 1970-1984 (2011). [bibTeX]    .
     
  20. Phan A-H, Cichocki A. Extended HALS Algorithm for Nonnegative Tucker Decomposition and its Applications for Multi-Way Analysis and Classification. Neurocomputing, 74, 1956-1969 (2011). [bibTeX].   
     
  21. Zhang Y, Zhou G, Zhao Q, Onishi A, Jin J, Wang X, Cichocki A. Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs. . Lecture Notes in Computer Science 7062, 287-295 (2011). [bibTeX].


  22. Kopriva I, Hadzija M, Popovic Hadzija M, Korolija M, Cichocki A. Rational variety mapping for contrast-enhanced nonlinear unsupervised segmentation of multispectral images of unstained specimen. . The American Journal of Pathology 179 (2), 547-554 (2011). [bibTeX].


  23. Phan A-H, Tichavsky P, Cichocki A. 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 (ICASSP 2011), 1988-1991 (2011). [bibTeX].


  24. Caiafa C., Cichocki A. Generalizing the column-row matrix decomposition to multi-way arrays.. Linear Algebra and its Applications, 433 (3), 557-573 (2010). [bibTeX].   
     
  25. Phan A-H. , Cichocki A. Tensor Decompositions for Feature Extraction and Classification of High Dimensional Datasets. Nonlinear Theory and Its Applications, IEICE, 1(1), 37-68 (2010). [bibTeX].   
     
  26. He Z, Cichocki A, Xie S, Choi K. Detecting the Number of Clusters in n-way Probabilistic Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(11), 2006-2021 (2010). [bibTeX].   
     
  27. Phan A-H, Cichocki A, Vu-Dinh T. Nonnegative DEDICOM Based on Tensor Decompositions for Social Networks Exploration. Australian Journal of Intelligent Information Processing Systems, 12(1), 10-15 (2010). [bibTeX].   
     
  28. Phan A-H, Cichocki A, Zdunek R, Vu-Dinh T. Novel Alternating Least Squares Algorithms for Nonnegative Matrix and Tensor Factorizations. Lecture Notes in Computer Science, 6443, 262-269 (2010). [bibTeX].   
     
  29. A. Cichocki and Phan A-H. Fast local algorithms for large scale Nonnegative Matrix and Tensor Factorizations .IEICE Transaction on Fundamentals, (Invited paper) (in print March 2009). [bibTeX].


  30. A. Cichocki, R. Zdunek, and S. Amari. Nonnegative Matrix and Tensor Factorization.IEEE Signal Processing Magazine, January 2008, pp. 142-145. [bibTeX].


  31. A. Cichocki, Y. Washizawa, T. Rutkowski, H. Bakardjian, A.-H. Phan, S. Choi, H. Lee, Q. Zhao, L. Zhang, and Y. Li. Noninvasive BCIs: Multiway signal-processing array decompositions.Computer, vol. 41, no. 10, pp. 34-42, 2008. [bibTeX].


  32. A. Cichocki, A-H. Phan, and C. Caiafa. Flexible HALS Algorithms for Sparse Non-negative Matrix/Tensor Factorization. Proceedings of 2008 IEEE International Workshop on Machine Learning for Signal Processing, 73-78 (2008). [bibTeX].   
     
  33. Y.-D. Kim, A. Cichocki, and S. Choi. Nonnegative Tucker decomposition with alpha-divergence. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008. [bibTeX].   
     
  34. A.-H. Phan, Cichocki A. Fast and efficient algorithms for Nonnegative Tucker Decomposition ISNN-2008, Beijing September 21-26, 2008 Springer LNCS 2008. [bibTeX].


  35. A. Cichocki, R. Zdunek, and S. Amari. Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. In: Independent Component Analysis, ICA07, London, UK, September 9-12, 2007. [bibTeX].   
     
  36. A. Cichocki, M. Jankovic, R. Zdunek, S. Amari. Sparse Super Symmetric Tensor Factorization. In: 14th International Conference on Neural Information Processing, ICONIP07, Kitakyushu, Japan, November 13-16, 2007, Lecture Notes in Computer Science, Springer, 2008. [bibTeX].   
     
  37. A. Cichocki, A-H. Phan, R. Zdunek, L.-Q. Zhang. Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation. In: 14th International Conference on Neural Information Processing,  ICONIP07, Kitakyushu, Japan, 13-16 November 13-16, 2007, Lecture Notes in Computer Science, Springer, 2008. [bibTeX].   
     
  38. A. Cichocki, R. Zdunek, S. Choi, R. Plemmons, and S. Amari. Novel Multi-layer Nonnegative Tensor Factorization with Sparsity Constraints.In: Adaptive and Natural Computing Algorithms, ICANNGA-2007, Warsaw, Poland, April 11-14, 2007, Lecture Notes in Computer Science, Vol. 4432, Springer, pp. 271-280, 2007. [bibTeX].   
     
  39. A. Cichocki and R. Zdunek. Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorizations.In: Advances in Neural Networks, ISNN 2007, Nanjing, China, June 3-7, 2007, Lecture Notes in Computer Science, Vol. 4493, Springer, pp. 793-802, 2007. [bibTeX].  
     
  40. A. Cichocki, R. Zdunek, S. Choi, R. Plemmons and S. Amari. Non-negative Tensor Factorization using Alpha and Beta Divergences.International Conference on Acoustics, Speech, and Signal Processing (ICASSP 07), Honolulu, Hawaii, USA, April 15-20, 2007, pp. 1393-1396. [bibTeX].


  41. H. Lee, Y.-D. Kim, A. Cichocki, and S. Choi. Nonnegative tensor factorization for continuous EEG classification.International Journal of Neural Systems, vol. 17, no. 4, pp. 1-13, August 2007. [bibTeX].