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Sparse representation classification (SRC) and collaborative representation classification (CRC) are the most promising classifiers for classifying high dimensional data. However, they may suffer from outliers and noises, as l<sub>2</sub>-norm on signal fidelity is not effective enough to represent the test sample in that case. Recent studies show that(More)
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