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Yang, 2012 - Google Patents

Regularized complete linear discriminant analysis for small sample size problems

Yang, 2012

Document ID
13764084857450000567
Author
Yang W
Publication year
Publication venue
Emerging Intelligent Computing Technology and Applications: 8th International Conference, ICIC 2012, Huangshan, China, July 25-29, 2012. Proceedings 8

External Links

Snippet

In small sample size (SSS) problems, the number of available training samples is smaller than the dimensionality of the sample space. Since linear discriminant analysis (LDA) requires the within-class scatter matrix to be non-sigular, LDA cannot be directly applied to …
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