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Deep Self-representative Concept Factorization Network for Representation Learning

By Yan Zhang and others
In this paper, we investigate the unsupervised deep representation learning issue and technically propose a novel framework called Deep Self-representative Concept Factorization Network (DSCF-Net), for clustering deep features. To improve the representation and clustering abilities, DSCF-Net explicitly considers discovering hidden deep semantic features, enhancing the robustness proper-ties of the deep... Show more
December 16, 2019
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Deep Self-representative Concept Factorization Network for Representation Learning
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