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In this paper, a face recognition method based on sparse representation is proposed. First it represents the test sample as a linear combination of all the training samples and selects K (K = 1, 2, 3) training samples from every class with the bigger contribution by using the representation result of every test sample. Then the test samples are represented as a linear combination of the selected training...
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