Rapid and brief communication: Generalizing relevance weighted LDA

Authors:
Yixiong Liang;Weiguo Gong;Yingjun Pan;Weihong Li
Affiliations:
Key Lab of Optoelectronic Technology and Systems of Education Ministry of China, Chongqing University, Chongqing 400044, China;Key Lab of Optoelectronic Technology and Systems of Education Ministry of China, Chongqing University, Chongqing 400044, China;Key Lab of Optoelectronic Technology and Systems of Education Ministry of China, Chongqing University, Chongqing 400044, China;Key Lab of Optoelectronic Technology and Systems of Education Ministry of China, Chongqing University, Chongqing 400044, China
Venue:
Pattern Recognition
Year:
2005

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Abstract

In this paper, a new variant on linear discriminant analysis (LDA) that we refer to as generalizing relevance weighted LDA or GRW-LDA is proposed. GRW-LDA extends the applicability to cases that LDA cannot handle by combining the advantages of two recent LDA enhancements, namely generalized singular value decomposition based LDA and relevance weighted LDA. Experimental results on FERET face database demonstrate the effectiveness of the proposed method.