Supervised within-class-similar discriminative dictionary learning for face recognition
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文摘

A discriminative dictionary learning algorithm is put forward for face recognition.

The algorithm combines the linear classification error with the within-class scatter.

The fisher ratios of the coefficients are enhanced.

The proposed method outperforms some state-of-the-art dictionary learning algorithms.

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