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Deep autoencoder based domain adaptation for transfer learning
The concept of transfer learning has received a great deal of concern and interest throughout the last decade. Selecting an ideal representational framework for instances of various domains to minimize the divergence among source and target domains is a fundamental research challenge in representati...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923974/ https://www.ncbi.nlm.nih.gov/pubmed/35310888 http://dx.doi.org/10.1007/s11042-022-12226-2 |