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Learning Domain-Independent Deep Representations by Mutual Information Minimization
Domain transfer learning aims to learn common data representations from a source domain and a target domain so that the source domain data can help the classification of the target domain. Conventional transfer representation learning imposes the distributions of source and target domain representat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604496/ https://www.ncbi.nlm.nih.gov/pubmed/31316558 http://dx.doi.org/10.1155/2019/9414539 |