Learning Deep Sparse Regularizers With Applications to Multi-View Clustering and Semi-Supervised Classification

Sparsity-constrained optimization problems are common in machine learning, such as sparse coding, low-rank minimization and compressive sensing. However, most of previous studies focused on constructing various hand-crafted sparse regularizers, while little work was devoted to learning adaptive spar...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 21. Sept., Seite 5042-5055
Auteur principal:	Wang, Shiping (Auteur)
Autres auteurs:	Chen, Zhaoliang, Du, Shide, Lin, Zhouchen
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article