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The Small Sample Size problem always arises when Linear Discriminant Analysis (LDA) is used in face recognition. Direct LDA(D-LDA) is a method to solve this problem by firstly whitening the between-class scatter Sb and then diagonalizing the within-class scatter Sw, but the discriminative information in the null space of Sw is always lost indirectly. To overcome the shortcoming of D-LDA, an improved...
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