Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering

Multi-modal clustering (MMC) aims to explore complementary information from diverse modalities for clustering performance facilitating. This article studies challenging problems in MMC methods based on deep neural networks. On one hand, most existing methods lack a unified objective to simultaneousl...

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Veröffentlicht in:	IEEE transactions on image processing 2023-01, Vol.PP, p.1-1
Hauptverfasser:	Xia, Wei, Wang, Tianxiu, Gao, Quanxue, Yang, Ming, Gao, Xinbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Centroids Clustering Consistency Datasets Embedding Graphical representations Labels Machine learning Multi-modal learning representation learning self-supervision Similarity
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