Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation
Domain adaptation manages to build an effective target classifier or regression model for unlabeled target data by utilizing the well-labeled source data but lying different distributions. Intuitively, to address domain shift problem, it is crucial to learn domain invariant features across domains,...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 9 vom: 01. Sept., Seite 4260-4273
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| 1. Verfasser: |
Li, Shuang
(VerfasserIn) |
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| Weitere Verfasser: |
Song, Shiji,
Huang, Gao,
Ding, Zhengming,
Wu, Cheng |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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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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