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C(2)DAN: An Improved Deep Adaptation Network with Domain Confusion and Classifier Adaptation
Deep neural networks have been successfully applied in domain adaptation which uses the labeled data of source domain to supplement useful information for target domain. Deep Adaptation Network (DAN) is one of these efficient frameworks, it utilizes Multi-Kernel Maximum Mean Discrepancy (MK-MMD) to...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349586/ https://www.ncbi.nlm.nih.gov/pubmed/32604859 http://dx.doi.org/10.3390/s20123606 |