ADMM-SRNet : Alternating Direction Method of Multipliers Based Sparse Representation Network for One-Class Classification

One-class classification aims to learn one-class models from only in-class training samples. Because of lacking out-of-class samples during training, most conventional deep learning based methods suffer from the feature collapse problem. In contrast, contrastive learning based methods can learn feat...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 01., Seite 2843-2856
1. Verfasser:	Chiou, Chien-Yu (VerfasserIn)
Weitere Verfasser:	Lee, Kuang-Ting, Huang, Chun-Rong, Chung, Pau-Choo
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2023
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article