Block-Active ADMM to Minimize NMF with Bregman Divergences
Over the last ten years, there has been a significant interest in employing <i>nonnegative matrix factorization</i> (NMF) to reduce dimensionality to enable a more efficient clustering analysis in machine learning. This technique has been applied in various image processing applications within the f...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-08-01
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| coleção: | Sensors |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1424-8220/23/16/7229 |
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