Brief Papers Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification

Abstract

We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This eigen analysis provides the eigenspectrum of its range space and the corresponding eigenvectors as well as… (More)

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