Image classification by semisupervised sparse coding with confident unlabeled samples.

Jin-Qiao Wu
Jin-Qiao Wu

JOURNAL OF ELECTRONIC IMAGING, no. 5 (2017)

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Abstract:

Sparse coding has achieved very excellent performance in image classification tasks, especially when the supervision information is incorporated into the dictionary learning process. However, there is a large amount of unlabeled samples that are expensive and boring to annotate. We propose an image classification algorithm by semisupervis...More

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