Center transfer for supervised domain adaptation

Domain adaptation (DA) is a popular strategy for pattern recognition and classification tasks. It leverages a large amount of data from the source domain to help train the model applied in the target domain. Supervised domain adaptation (SDA) approaches are desirable when only few labeled samples fr...

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Detalles Bibliográficos
Autores principales: Huang, Xiuyu, Zhou, Nan, Huang, Jian, Zhang, Huaidong, Pedrycz, Witold, Choi, Kup-Sze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878501/
https://www.ncbi.nlm.nih.gov/pubmed/36718382
http://dx.doi.org/10.1007/s10489-022-04414-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878501/
https://www.ncbi.nlm.nih.gov/pubmed/36718382
http://dx.doi.org/10.1007/s10489-022-04414-2

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