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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...
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| Veröffentlicht in: | IEEE Trans Pattern Anal Mach Intell |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5522776/ https://ncbi.nlm.nih.gov/pubmed/28129148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2017.2656884 |
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