Research on KPCA and NS-LDA Combined Face Recognition


Kernel Principal Component Analysis (KPCA) is the promotion of PCA in kernel space, Null space LDA can be directly employed to choose a set of optimal projection vectors by preserving effective information of null space of within-class scatter maximizing ratio of the between-class scatter to the within-class scatter. This paper puts forward the method about… (More)


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