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Paper Abstract and Keywords
Presentation 2017-01-27 13:50
Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network
Hidemoto Nakada, Yuuji Ichisugi (AIST) NC2016-59
Abstract (in Japanese) (See Japanese page) 
(in English) We have been proposing a computational model of the cerebral cortex called BESOM,
that models the cerebral cortex as restricted Bayesian network based on recent findings in the neuroscience area. Since BESOM is based on Bayesian network, it inherently allows bi-directional information flow, meaning that it can merge information extracted from concrete data with highly-abstract prior knowledge in a natural way. As a example of such kind of task, we report robust text recognition task with context information. We show that word information and word n-gram could be represented as a part of the network and actually they contribute the text recognition accuracy with noisy text images. We also show that the computational cost is approximately linear with the number of characters and words.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian Network / Text Recognition / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 424, NC2016-59, pp. 65-70, Jan. 2017.
Paper # NC2016-59 
Date of Issue 2017-01-19 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2016-59

Conference Information
Committee NC NLP  
Conference Date 2017-01-26 - 2017-01-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc 
Paper Information
Registration To NC 
Conference Code 2017-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network 
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Keyword(2) Text Recognition  
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1st Author's Name Hidemoto Nakada  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Yuuji Ichisugi  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2017-01-27 13:50:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2016-59 
Volume (vol) vol.116 
Number (no) no.424 
Page pp.65-70 
#Pages 6 
Date of Issue 2017-01-19 (NC) 

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