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The employed dictionary plays a vital role in sparse representation based classification (SRC). Dictionary learning (DL) for classification proposed in previous work learns a dictionary by utilizing the original training samples and has shown satisfying classification accuracy when performing image classification. This paper proposes a novel supervised dictionary learning framework for classification,...
Learning dictionaries from the training data has led to promising results for pattern classification tasks. Dimensionality reduction is also an important issue for pattern classification. However, most existing methods perform dimensionality reduction (DR) and dictionary learning (DL) independently, which may result in not fully exploiting the discriminative information of the training data. In this...
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