Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation
In this paper, we address the problem of unsupervised domain transfer learning in which no labels are available in the target domain. We use a transformation matrix to transfer both the source and target data to a common subspace, where each target sample can be represented by a combination of sourc...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 2 vom: 10. Feb., Seite 850-63
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| 1. Verfasser: |
Xu, Yong
(VerfasserIn) |
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| Weitere Verfasser: |
Fang, Xiaozhao,
Wu, Jian,
Li, Xuelong,
Zhang, David |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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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
Research Support, Non-U.S. Gov't |
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