Generalizing relevance weighted LDA

摘要

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.