Retargeted Multi-View Feature Learning With Separate and Shared Subspace Uncovering
Multi-view feature learning aims at improving the performances of learning tasks, by fusing various kinds of features (views), such as heterogeneous features and/or homogeneous features. Current leading multi-view feature learning approaches usually learn features in each view separately while not u...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8091111/ |