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Kernel-based improved discriminant analysis and its application to face recognition

โœ Scribed by Dake Zhou; Zhenmin Tang


Publisher
Springer
Year
2009
Tongue
English
Weight
745 KB
Volume
14
Category
Article
ISSN
1432-7643

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Improved discriminate analysis for high-
โœ Xiao-Sheng Zhuang; Dao-Qing Dai ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 672 KB

Many pattern recognition applications involve the treatment of high-dimensional data and the small sample size problem. Principal component analysis (PCA) is a common used dimension reduction technique. Linear discriminate analysis (LDA) is often employed for classification. PCA plus LDA is a famous