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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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Bibliographische Detailangaben
Veröffentlicht in:IEEE Trans Pattern Anal Mach Intell
Hauptverfasser: Chang, Hang, Han, Ju, Zhong, Cheng, Snijders, Antoine M., Mao, Jian-Hua
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
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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