Detail publikačního výsledku

Semi-supervised Training of Deep Neural Networks

VESELÝ, K.; HANNEMANN, M.; BURGET, L.

Originální název

Semi-supervised Training of Deep Neural Networks

Anglický název

Semi-supervised Training of Deep Neural Networks

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

Our quest in this paper is to search for an optimal dataselectionstrategy for the semi-supervised DNN training. Weperformed an analysis at all the three stages of DNN training.

Anglický abstrakt

Our quest in this paper is to search for an optimal dataselectionstrategy for the semi-supervised DNN training. Weperformed an analysis at all the three stages of DNN training.

Klíčová slova

semi-supervised training, self-training,deep network, DNN, Babel program

Klíčová slova v angličtině

semi-supervised training, self-training,deep network, DNN, Babel program

Autoři

VESELÝ, K.; HANNEMANN, M.; BURGET, L.

Rok RIV

2014

Vydáno

08.12.2013

Nakladatel

IEEE Signal Processing Society

Místo

Olomouc

ISBN

978-1-4799-2755-5

Kniha

Proceedings of ASRU 2013

Strany od

267

Strany do

272

Strany počet

6

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_asru2013_0000267.pdf

BibTex

@inproceedings{BUT105976,
  author="Karel {Veselý} and Mirko {Hannemann} and Lukáš {Burget}",
  title="Semi-supervised Training of Deep Neural Networks",
  booktitle="Proceedings of ASRU 2013",
  year="2013",
  pages="267--272",
  publisher="IEEE Signal Processing Society",
  address="Olomouc",
  isbn="978-1-4799-2755-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_asru2013_0000267.pdf"
}