Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning-Reference-Cited by-同舟云学术

Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning

Published:2017-02-25 Issue:3 Volume:18 Page:273-284
ISSN:1612-4782
Container-title:Cognitive Processing
language:en
Short-container-title:Cogn Process

Author:

Sadeghi Zahra,Testolin Alberto^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology,General Medicine

Link

http://link.springer.com/article/10.1007/s10339-017-0796-7/fulltext.html

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3. Alaei A, Nagabhushan P, Pal U (2010) A new two-stage scheme for the recognition of Persian handwritten characters. In: Proceedings—12th international conference on frontiers handwriting recognition, ICFHR 2010. pp 130–135. doi: 10.1109/ICFHR.2010.27

4. Alaei A, Pal U, Nagabhushan P (2012) A comparative study of Persian/Arabic handwritten character recognition. In: 2012 International conference on frontiers handwriting recognition. pp 123–128. doi: 10.1109/ICFHR.2012.152

5. Bengio Y (2009) Learning deep architectures for AI. Now Publishers Inc., Breda

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