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...
Main Authors: | Rakesh Kumar Sanodiya, Leehter Yao |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/16/4367 |
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