Maximum Density Divergence for Domain Adaptation
Unsupervised domain adaptation addresses the problem of transferring knowledge from a well-labeled source domain to an unlabeled target domain where the two domains have distinctive data distributions. Thus, the essence of domain adaptation is to mitigate the distribution divergence between the two...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 11 vom: 01. Nov., Seite 3918-3930
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| 1. Verfasser: |
Li, Jingjing
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Erpeng,
Ding, Zhengming,
Zhu, Lei,
Lu, Ke,
Shen, Heng Tao |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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