Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications
The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre-learned base knowledge towards tasks with considerably smaller data scale are extremely important. Many of the existing transfer learning techniques are supervised approaches, among which deep learni...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 40(2018), 5 vom: 04. Mai, Seite 1182-1194
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| 1. Verfasser: |
Chang, Hang
(VerfasserIn) |
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| Weitere Verfasser: |
Han, Ju,
Zhong, Cheng,
Snijders, Antoine M,
Mao, Jian-Hua |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural |
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