Robust Unsupervised Multi-View Feature Learning With Dynamic Graph
Graph-based multi-view feature learning methods learn a low-dimensional embedding of the data by modeling the affinity correlations with a graph to reduce the dimension. However, the learned low-dimensional representation relies on a fixed graph that is potentially inaccurate and unreliable. Besides...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8727542/ |