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Kernel ICA: An alternative formulation and its application to face recognition

โœ Scribed by Jian Yang; Xiumei Gao; David Zhang; Jing-yu Yang

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
174 KB
Volume
38
Category
Article
ISSN
0031-3203

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Improved discriminate analysis for high-
Improved discriminate analysis for high-dimensional data and its application to face recognition
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