Learning double weights via data augmentation for robust sparse and collaborative representation-based classification
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DOI: 10.1007/s11042-020-08918-2
Abstract: Image classification is a hot technique applied in many multimedia systems, where both l 1 and l 2 regularizations have shown potential for robust sparse representation-based image classification. However, previous studies showed that l 1… read more here.
Keywords: robust sparse; classification; double weights; data augmentation ... See more keywords