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Sparse representation (SR) is a novel pattern recognition method. The algorithm of SR usually performs well. However, in processing a massive concurrent recognition task, SR has a very high computational cost because every test sample has to seek to an optimal linear combination of all the training samples. To this end, we propose a novel method which can perform well without needing to seek a linear...
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