Discriminative low-rank metric learning for face recognition

Metric learning has attracted increasing attentions recently, because of its promising performance in many visual analysis applications. General supervised metric learning methods are designed to learn a discriminative metric that can pull all the within-class data points close enough, while pushing all the data points with different class labels far away… CONTINUE READING

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