Unsupervised Feature Learning for Visual Sign Language Identification

Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, Tom Heskes


Anthology ID:
P14-2061
Volume:
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
June
Year:
2014
Address:
Baltimore, Maryland
Editors:
Kristina Toutanova, Hua Wu
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
370–376
Language:
URL:
https://aclanthology.org/P14-2061
DOI:
10.3115/v1/P14-2061
Bibkey:
Cite (ACL):
Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, and Tom Heskes. 2014. Unsupervised Feature Learning for Visual Sign Language Identification. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 370–376, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):
Unsupervised Feature Learning for Visual Sign Language Identification (Gebre et al., ACL 2014)
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PDF:
https://aclanthology.org/P14-2061.pdf
Video:
 https://aclanthology.org/P14-2061.mp4