Robust Cross-View Embedding With Discriminant Structure for Multi-Label Classification
Label embedding is an important family of multi-label classification algorithms which can jointly extract the information of all labels for better performance. However, few works have been done to develop the multi-label embedding methods that can effectively deal with the interference of noisy data...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9520359/ |