Sparsity induced convex nonnegative matrix factorization algorithm with manifold regularization
To address problems that the effectiveness of feature learned from real noisy data by classical nonnegative matrix factorization method,a novel sparsity induced manifold regularized convex nonnegative matrix factorization algorithm (SGCNMF) was proposed.Based on manifold regularization,the L<sub&...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Department of Journal on Communications
2020-05-01
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| coleção: | Tongxin xuebao |
| Assuntos: | |
| Acesso em linha: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020064 |
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