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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Published in | Pattern recognition Vol. 97; p. 107015 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.01.2020
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Subjects | |
Online Access | Get full text |
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