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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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Detalles Bibliográficos
Autores principales: Wang, Ke, Liu, Jiayong, Wang, Jing-Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604496/
https://www.ncbi.nlm.nih.gov/pubmed/31316558
http://dx.doi.org/10.1155/2019/9414539