Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims to learn a classifier for the unlabeled target domain by leveraging knowledge from a labeled source domain with a different but related distribution. Many existing approaches typically learn a domain-invariant representation space by directly matching the ma...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 31., Seite 7842-7855
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| 1. Verfasser: |
Deng, Wanxia
(VerfasserIn) |
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| Weitere Verfasser: |
Liao, Qing,
Zhao, Lingjun,
Guo, Deke,
Kuang, Gangyao,
Hu, Dewen,
Liu, Li |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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