An auto-encoder based approach to unsupervised learning of subword units
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سال
: 2014شناسه الکترونیک: 10.1109/ICCAD.2014.7001340
کلیدواژه(گان): Color,Law,Layout,Lithography,Rails,Standards
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آمار بازدید
An auto-encoder based approach to unsupervised learning of subword units
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contributor author | Badino, L. , Canevari, C. , Fadiga, L. , Metta, G. | |
date accessioned | 2020-03-12T20:10:32Z | |
date available | 2020-03-12T20:10:32Z | |
date issued | 2014 | |
identifier other | 6855085.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1004695 | |
format | general | |
language | English | |
publisher | IEEE | |
title | An auto-encoder based approach to unsupervised learning of subword units | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8126079 | |
subject keywords | Color | |
subject keywords | Law | |
subject keywords | Layout | |
subject keywords | Lithography | |
subject keywords | Rails | |
subject keywords | Standards | |
identifier doi | 10.1109/ICCAD.2014.7001340 | |
journal title | coustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on | |
filesize | 217024 | |
citations | 0 |