Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering

Multi-view clustering aims to learn discriminative representations from multi-view data. Although existing methods show impressive performance by leveraging contrastive learning to tackle the representation gap between every two views, they share the common limitation of not performing semantic alig...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 08., Seite 4501-4515
Auteur principal: Zhang, Qian (Auteur)
Autres auteurs: Zhang, Lin, Song, Ran, Cong, Runmin, Liu, Yonghuai, Zhang, Wei
Format: Article en ligne
Langue:English
Publié: 2024
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article