Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness
暂无分享,去创建一个
Andrzej Cichocki | Shengli Xie | Guoxu Zhou | Qibin Zhao | A. Cichocki | Guoxu Zhou | Qibin Zhao | S. Xie | Shengli Xie
[1] Jing Liu,et al. Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection , 2014, IEEE Transactions on Knowledge and Data Engineering.
[2] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[3] Andrzej Cichocki,et al. Accelerated Canonical Polyadic Decomposition Using Mode Reduction , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[4] Nicolas Gillis,et al. Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Hans Laurberg. Uniqueness of Non-Negative Matrix Factorization , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[6] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[7] LiXuelong,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007 .
[8] Anand Rangarajan,et al. Image Denoising Using the Higher Order Singular Value Decomposition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Zhaoshui He,et al. Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts , 2011, IEEE Transactions on Neural Networks.
[10] Donald Goldfarb,et al. Robust Low-Rank Tensor Recovery: Models and Algorithms , 2013, SIAM J. Matrix Anal. Appl..
[11] Zhigang Luo,et al. NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization , 2012, IEEE Transactions on Signal Processing.
[12] Patrik O. Hoyer,et al. Non-negative sparse coding , 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.
[13] Andrzej Cichocki,et al. Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization , 2015, IEEE Signal Processing Letters.
[14] W. Marsden. I and J , 2012 .
[15] Seungjin Choi,et al. Nonnegative Tucker Decomposition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Tamara G. Kolda,et al. Scalable Tensor Decompositions for Multi-aspect Data Mining , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[18] Andrzej Cichocki,et al. Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation , 2012, IEEE Transactions on Signal Processing.
[19] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[20] Joel A. Tropp,et al. Factoring nonnegative matrices with linear programs , 2012, NIPS.
[21] Hyunsoo Kim,et al. Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method , 2008, SIAM J. Matrix Anal. Appl..
[22] Allen S. Mandel. Comment … , 1978, British heart journal.
[23] Nikos D. Sidiropoulos,et al. A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP) , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[24] Andrzej Cichocki,et al. Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification , 2011, Neurocomputing.
[25] Xingyu Wang,et al. Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[26] Dong Xu,et al. Multilinear Discriminant Analysis for Face Recognition , 2007, IEEE Transactions on Image Processing.
[27] Lars Kai Hansen,et al. Algorithms for Sparse Nonnegative Tucker Decompositions , 2008, Neural Computation.
[28] Liqing Zhang,et al. Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion , 2015, ArXiv.
[29] Charalampos E. Tsourakakis. MACH: Fast Randomized Tensor Decompositions , 2009, SDM.
[30] Andrzej Cichocki,et al. Decomposition of Big Tensors With Low Multilinear Rank , 2014, ArXiv.
[31] A. Cichocki,et al. Generalizing the column–row matrix decomposition to multi-way arrays , 2010 .
[32] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[33] John Shawe-Taylor,et al. MahNMF: Manhattan Non-negative Matrix Factorization , 2012, ArXiv.
[34] Pierre Comon,et al. Nonnegative approximations of nonnegative tensors , 2009, ArXiv.
[35] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective , 2014, IEEE Signal Processing Magazine.
[36] Chong-Yung Chi,et al. Nonnegative Least-Correlated Component Analysis for Separation of Dependent Sources by Volume Maximization , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] C. Loan,et al. Approximation with Kronecker Products , 1992 .
[38] Nicolas Gillis,et al. Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization , 2011, Neural Computation.
[39] Nikos D. Sidiropoulos,et al. Non-Negative Matrix Factorization Revisited: Uniqueness and Algorithm for Symmetric Decomposition , 2014, IEEE Transactions on Signal Processing.
[40] Haesun Park,et al. Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons , 2011, SIAM J. Sci. Comput..
[41] Nicolas Gillis,et al. Sparse and unique nonnegative matrix factorization through data preprocessing , 2012, J. Mach. Learn. Res..
[42] Andrzej Cichocki,et al. Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical Data , 2015, Proceedings of the IEEE.
[43] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[44] Chris H. Q. Ding,et al. Convex and Semi-Nonnegative Matrix Factorizations , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[45] Jing Liu,et al. Robust Structured Subspace Learning for Data Representation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Pierre Comon,et al. Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .
[47] N. Sidiropoulos,et al. On the uniqueness of multilinear decomposition of N‐way arrays , 2000 .