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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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Detalles Bibliográficos
Autores principales: Sanodiya, Rakesh Kumar, Yao, Leehter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472389/
https://www.ncbi.nlm.nih.gov/pubmed/32764355
http://dx.doi.org/10.3390/s20164367