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TNN
2008
105views more  TNN 2008»
13 years 6 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
CVPR
2008
IEEE
14 years 8 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye
TCOM
2008
83views more  TCOM 2008»
13 years 6 months ago
Toward a unified framework for modeling and analysis of diversity in joint source-channel coding
The study of Joint Source-Channel Coding (JSCC) systems faces one major challenge in obtaining an analytical expression for the function that links end-to-end distortion with chann...
Andres Kwasinski, K. J. Ray Liu
ICPR
2008
IEEE
14 years 7 months ago
Generalized Nonlinear Discriminant Analysis
A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis i...
Hua Zhang, Li Zhang, Licheng Jiao, Weida Zhou
CIKM
2006
Springer
13 years 10 months ago
Efficient model selection for regularized linear discriminant analysis
Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo...