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TNN
2008
105views more  TNN 2008»
13 years 4 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 6 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 4 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 5 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 8 months ago
Efficient model selection for regularized linear discriminant analysis
Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo...