Incomplete Multi-view Classification via Discriminative and Sparse Representation
Generally, the traditional multi-view learning methods assume that all samples are completed in all views. However, this assumption often fails in real applications because of limited access to data, equipment malfunc-tion, as well as occlusion and so on. Thus, it is ineffective to directly use thes...
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| Glavni autor: | |
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| Format: | Artigo |
| Jezik: | Chinês |
| Izdano: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2021-10-01
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| Serija: | Jisuanji kexue yu tansuo |
| Teme: | |
| Online pristup: | http://fcst.ceaj.org/CN/abstract/abstract2917.shtml |
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