Deep Subspace Clustering Under Class Relation Constraint

Deep subspace clustering uses latent features instead of raw images to construct the self-expression coefficient matrix. Existing methods primarily focus on optimizing the self-expression coefficient matrix, often neglecting the impact of latent features. However, better latent features are more in...

Description complète

Détails bibliographiques

Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 17. Okt.
Auteur principal:	Zhao, Xuemei (Auteur)
Autres auteurs:	Xiong, Yusong, Wu, Jun, Inthasone, Somsack, Wang, Haijian
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article