An auto-encoder based approach to unsupervised learning of subword units
Publisher:
Year
: 2014DOI: 10.1109/ICCAD.2014.7001340
Keyword(s): Color,Law,Layout,Lithography,Rails,Standards
Collections
:
-
Statistics
An auto-encoder based approach to unsupervised learning of subword units
Show full item record
| 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 |