Supervised Linear Dimensionality Reduction Based on Factor Analysis and Information-Theoertic Criteria
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[1] Xuelong Li,et al. Geometric Mean for Subspace Selection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] J. E. Jackson. A User's Guide to Principal Components , 1991 .
[3] Soo-Young Lee,et al. Discriminant Independent Component Analysis , 2011, IEEE Transactions on Neural Networks.
[4] William S. Rayens,et al. Independent Component Analysis: Principles and Practice , 2003, Technometrics.
[5] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[6] Soo-Young Lee,et al. Discriminant Independent Component Analysis , 2011, IEEE Trans. Neural Networks.
[7] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[8] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[9] Zoran Nenadic,et al. Information Discriminant Analysis: Feature Extraction with an Information-Theoretic Objective , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Hua Yu,et al. A direct LDA algorithm for high-dimensional data - with application to face recognition , 2001, Pattern Recognit..
[11] Te-Won Lee,et al. Independent Component Analysis , 1998, Springer US.
[12] A. Robert Calderbank,et al. Communications Inspired Linear Discriminant Analysis , 2012, ICML.
[13] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..