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VESELÝ, K. HANNEMANN, M. BURGET, L.
Original Title
Semi-supervised Training of Deep Neural Networks
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
semi-supervised training, self-training, deep network, DNN, Babel program
Authors
VESELÝ, K.; HANNEMANN, M.; BURGET, L.
RIV year
2013
Released
8. 12. 2013
Publisher
IEEE Signal Processing Society
Location
Olomouc
ISBN
978-1-4799-2755-5
Book
Proceedings of ASRU 2013
Pages from
267
Pages to
272
Pages count
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" }