Exponential Graph Regularized Non-Negative Low-Rank Factorization for Robust Latent Representation
Non-negative matrix factorization (NMF) is a fundamental theory that has received much attention and is widely used in image engineering, pattern recognition and other fields. However, the classical NMF has limitations such as only focusing on local information, sensitivity to noise and small sample...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2022-11-01
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| Серии: | Mathematics |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2227-7390/10/22/4314 |
| Метки: |
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