Dual Contrastive Prediction for Incomplete Multi-View Representation Learning

In this article, we propose a unified framework to solve the following two challenging problems in incomplete multi-view representation learning: i) how to learn a consistent representation unifying different views, and ii) how to recover the missing views. To address the challenges, we provide an i...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 45; H. 4; S. 4447 - 4461
Hauptverfasser:	Lin, Yijie, Gou, Yuanbiao, Liu, Xiaotian, Bai, Jinfeng, Lv, Jiancheng, Peng, Xi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Clustering Consistency contrastive prediction Data recovery Entropy Human activity recognition Human motion Kernel Learning Linear programming multi-view clustering Multi-view learning multi-view representation learning Mutual information Optimization Representation learning Representations Task analysis view missing
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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