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A Deep Non-negative Matrix Factorization Model for Big Data Representation Learning
Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep representations poses a vast challenge on real-world applications. To alleviate the challenge, a deep matrix factorization method with non-negativ...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8329448/ https://www.ncbi.nlm.nih.gov/pubmed/34354579 http://dx.doi.org/10.3389/fnbot.2021.701194 |