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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Détails bibliographiques
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 08., Seite 4501-4515
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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
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Sujets: | Journal Article |