Missing Modality Transfer Learning via Latent Low-Rank Constraint
Transfer learning is usually exploited to leverage previously well-learned source domain for evaluating the unknown target domain; however, it may fail if no target data are available in the training stage. This problem arises when the data are multi-modal. For example, the target domain is in one m...
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 11 vom: 11. Nov., Seite 4322-34 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2015
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Schlagworte: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
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