Incomplete Multi-View Multi-Label Learning via Disentangled Representation and Label Semantic Embedding

In incomplete multi-view multi-label learning scenarios, it is crucial to use the incomplete multi-view data to extract consistent and specific representations from different data sources and to fully exploit the missing label information. However, most previous approaches ignore the separation prob...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 30722 - 30731
Main Authors:	Yan, Xu, Yin, Jun, Wen, Jie
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10.06.2025
Subjects:	Computer vision Data mining Disentangled representation learning Feature extraction Mutual information Semantics Soft sensors Topology Training data Upper bound
ISSN:	1063-6919
Online Access:	Get full text
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