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Nonnegative matrix and tensor factorizations: applications to exploratory multi-way data analysis and blind source separation
A Cichocki, R Zdunek, AH Phan, S Amari
John Wiley & Sons, 2009
Tensor decompositions for signal processing applications: From two-way to multiway component analysis
A Cichocki, D Mandic, L De Lathauwer, G Zhou, Q Zhao, C Caiafa, ...
IEEE signal processing magazine 32 (2), 145-163, 2015
Fast local algorithms for large scale nonnegative matrix and tensor factorizations
A Cichocki, AH Phan
IEICE transactions on fundamentals of electronics, communications and …, 2009
Tensor networks for dimensionality reduction and large-scale optimization: Part 1 low-rank tensor decompositions
A Cichocki, N Lee, I Oseledets, AH Phan, Q Zhao, DP Mandic
Foundations and Trends® in Machine Learning 9 (4-5), 249-429, 2016
ICALAB toolboxes
A Cichocki
http://www. bsp. brain. riken. jp/ICALAB, 2004
Tensor decompositions for feature extraction and classification of high dimensional datasets
AH Phan, A Cichocki
Nonlinear theory and its applications, IEICE 1 (1), 37-68, 2010
Noninvasive BCIs: Multiway signal-processing array decompositions
A Cichocki, Y Washizawa, T Rutkowski, H Bakardjian, AH Phan, S Choi, ...
Computer 41 (10), 34-42, 2008
Fast alternating LS algorithms for high order CANDECOMP/PARAFAC tensor factorizations
AH Phan, P Tichavskı, A Cichocki
IEEE Transactions on Signal Processing 61 (19), 4834-4846, 2013
Tensor networks for dimensionality reduction and large-scale optimizations. part 2 applications and future perspectives
A Cichocki, AH Phan, Q Zhao, N Lee, IV Oseledets, M Sugiyama, ...
arXiv preprint arXiv:1708.09165, 2017
Low complexity damped Gauss--Newton algorithms for CANDECOMP/PARAFAC
AH Phan, P Tichavsky, A Cichocki
SIAM Journal on Matrix Analysis and Applications 34 (1), 126-147, 2013
PARAFAC algorithms for large-scale problems
P Anh Huy, C Andrzej
Neurocomputing 74 (11), 1970–1984, 2011
Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG
F Cong, AH Phan, P Astikainen, Q Zhao, Q Wu, JK Hietanen, T Ristaniemi, ...
International journal of neural systems 23 (02), 1350006, 2013
Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification
AH Phan, A Cichocki
Neurocomputing 74 (11), 1956-1969, 2011
Benefits of multi-domain feature of mismatch negativity extracted by non-negative tensor factorization from EEG collected by low-density array
F Cong, AH Phan, Q Zhao, T Huttunen-Scott, J Kaartinen, T Ristaniemi, ...
International journal of neural systems 22 (06), 1250025, 2012
Flexible HALS algorithms for sparse non-negative matrix/tensor factorization
A Cichocki, AH Phan, C Caiafa
2008 Ieee Workshop on Machine Learning for Signal Processing, 73-78, 2008
Cramer-Rao-Induced Bounds for CANDECOMP/PARAFAC tensor decomposition
P Tichavsky, AH Phan, Z Koldovsky
Transactions on Signal Processsing 61 (8), 1986-1997, 2013
CANDECOMP/PARAFAC decomposition of high-order tensors through tensor reshaping
AH Phan, P Tichavskı, A Cichocki
IEEE Transactions on Signal Processing 61 (19), 4847-4860, 2013
Tensor Deflation for CANDECOMP/PARAFAC. Part 1: Alternating Subspace Update Algorithm
AH Phan, P Tichavsky, A Cichocki
Transaction on Signal Processing, 2015
On revealing replicating structures in multiway data: A novel tensor decomposition approach
AH Phan, A Cichocki, P Tichavskı, DP Mandic, K Matsuoka
International Conference on Latent Variable Analysis and Signal Separation …, 2012
Flexible component analysis for sparse, smooth, nonnegative coding or representation
A Cichocki, AH Phan, R Zdunek, LQ Zhang
International Conference on Neural Information Processing, 811-820, 2007
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