Auto-weighted multi-view clustering via deep matrix decomposition

•Anovel deep multi-view learning model is proposed by uncovering the hierarchical semantics of the input data in a layer-wise way.•The instances from the same class but from different views are forced to be closer layer by layer in the low-dimensional space, which is beneficial for the subsequent le...

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Bibliographic Details
Published inPattern recognition Vol. 97; p. 107015
Main Authors Huang, Shudong, Kang, Zhao, Xu, Zenglin
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2020
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