Semi-supervised domain adaptation with subspace learning for visual recognition
In many real-world applications, we are often facing the problem of cross domain learning, i.e., to borrow the labeled data or transfer the already learnt knowledge from a source domain to a target domain. However, simply applying existing source data or knowledge may even hurt the performance, espe...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6465 https://ink.library.smu.edu.sg/context/sis_research/article/7468/viewcontent/Yao_Semi_Supervised_Domain_Adaptation_2015_CVPR_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |