About: Semi-supervised Training of Deep Neural Networks     Goto   Sponge   NotDistinct   Permalink

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  • Our quest in this paper is to search for an optimal dataselection strategy for the semi-supervised DNN training. We performed an analysis at all the three stages of DNN training.
  • Our quest in this paper is to search for an optimal dataselection strategy for the semi-supervised DNN training. We performed an analysis at all the three stages of DNN training. (en)
Title
  • Semi-supervised Training of Deep Neural Networks
  • Semi-supervised Training of Deep Neural Networks (en)
skos:prefLabel
  • Semi-supervised Training of Deep Neural Networks
  • Semi-supervised Training of Deep Neural Networks (en)
skos:notation
  • RIV/00216305:26230/13:PU108096!RIV14-MSM-26230___
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  • P(ED1.1.00/02.0070)
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  • 104638
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  • RIV/00216305:26230/13:PU108096
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  • semi-supervised training, self-training, deep network, DNN, Babel program (en)
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  • [3DCB77BB86AE]
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  • Olomouc
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  • Olomouc
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  • Proceedings of ASRU 2013
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  • Burget, Lukáš
  • Veselý, Karel
  • Hannemann, Mirko
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number of pages
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  • IEEE Signal Processing Society
https://schema.org/isbn
  • 978-1-4799-2755-5
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  • 26230
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