Robust non-negative supervised low-rank discriminant embedding algorithm
Non-negative matrix factorization (NMF) has been widely used.However, NMF pays more attention to the local information of the data, it ignores the global representation of the data.In terms of image classification, the global information of the data is often more robust to noise than the local infor...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Chinês |
| Vydáno: |
POSTS&TELECOM PRESS Co., LTD
2021-09-01
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| Edice: | 智能科学与技术学报 |
| Témata: | |
| On-line přístup: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202135 |
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