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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...
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| Vydáno v: | Comput Intell Neurosci |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6604496/ https://ncbi.nlm.nih.gov/pubmed/31316558 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/9414539 |
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