Sparse coding for image classification base on spatial pyramid representation


Many efforts have been devoted to apply sparse coding for image classification with the aim of minimizing the reconstruction error and classification error. So far, the approaches have been proposed either separate the reconstruction and classification process which leave rooms for further optimization or form a complicated training model which cannot be… (More)
DOI: 10.1134/S1054661817030087


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