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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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 9 vom: 21. Sept., Seite 5042-5055
1. Verfasser:	Wang, Shiping (VerfasserIn)
Weitere Verfasser:	Chen, Zhaoliang, Du, Shide, Lin, Zhouchen
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article