Sparse Coding and Automatic Relevance Determination for Multiway models
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[1] H. Kaiser. The varimax criterion for analytic rotation in factor analysis , 1958 .
[2] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[3] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[4] J. Kruskal. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics , 1977 .
[5] Lars Nørgaard,et al. RANK ANNIHILATION FACTOR ANALYSIS APPLIED TO FLOW INJECTION ANALYSIS WITH PHOTODIODE-ARRAY DETECTION , 1994 .
[6] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[7] R. Bro. PARAFAC. Tutorial and applications , 1997 .
[8] H. Kiers. Joint Orthomax Rotation of the Core and Component Matrices Resulting from Three-mode Principal Components Analysis , 1998 .
[9] Rasmus Bro,et al. Calibration methods for complex second-order data , 1999 .
[10] R. Bro. Exploratory study of sugar production using fluorescence spectroscopy and multi-way analysis , 1999 .
[11] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[12] Rasmus Bro,et al. Jack-knife technique for outlier detection and estimation of standard errors in PARAFAC models , 2003 .
[13] Bruno A Olshausen,et al. Sparse coding of sensory inputs , 2004, Current Opinion in Neurobiology.
[14] Yuan Qi,et al. Predictive automatic relevance determination by expectation propagation , 2004, ICML.
[15] D. Donoho. For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution , 2006 .
[16] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[17] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[18] Morten Mørup,et al. Decomposition methods for unsupervised learning , 2008 .
[19] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[20] L. K. Hansen,et al. Automatic relevance determination for multi‐way models , 2009 .
[21] Feng Qianjin,et al. Projected gradient methods for Non-negative Matrix Factorization based relevance feedback algorithm in medical image retrieval , 2011 .