An efficient algorithm to solve the small sample size problem for LDA

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摘要

In this paper, we present an efficient algorithm to solve the most discriminant vectors of LDA for high-dimensional data set. The experiments on ORL face database confirm the effectiveness of the proposed method.

论文关键词：Linear discriminant analysis,Null space,Face recognition

论文评审过程：Received 3 February 2003, Accepted 19 February 2003, Available online 8 January 2004.

论文官网地址：https://doi.org/10.1016/j.patcog.2003.02.001