A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation

In a real-world application, the images taken by different cameras with different conditions often incur illumination variation, low-resolution, different poses, blur, etc., which leads to a large distribution difference or gap between training (source) and test (target) images. This distribution ga...

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Главные авторы:	Rakesh Kumar Sanodiya, Leehter Yao
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2020-08-01
Серии:	Sensors
Предметы:	domain adaptation unsupervised discriminant analysis transfer learning classification feature learning instance re-weighting
Online-ссылка:	https://www.mdpi.com/1424-8220/20/16/4367
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