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...

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Detalles Bibliográficos
Autores principales: Sun, Han, Chen, Xinyi, Wang, Ling, Liang, Dong, Liu, Ningzhong, Zhou, Huiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349586/
https://www.ncbi.nlm.nih.gov/pubmed/32604859
http://dx.doi.org/10.3390/s20123606

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