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Paper Abstract and Keywords
Presentation 2014-11-18 15:00
[Poster Presentation] Combination of LSTM and CNN on recognizing mathematical symbols
Hai Nguyen Dai, Anh Le Duc, Masaki Nakagawa (TUAT) IBISML2014-73
Abstract (in Japanese) (See Japanese page) 
(in English) Combining classifiers is an approach that has been shown to be useful on numerous occasions when striving for further improvement over the performance of individual classifiers. In this paper we present a combination of CNN and LSTM, which are both sophisticated neural networks and good classifiers for offline and online handwriting mathematical character recognition respectively. In addition, we employ the dropout technique and gradient based local features to improve accuracy of CNN and LSTM, respectively. The best combination ensemble has a recognition rate which is significantly higher than the rate achieved by the best individual classifier on database MathBrush
Keyword (in Japanese) (See Japanese page) 
(in English) Convolutional Neural Network / LSTM / DropOut / Shape Context Feature / Directional Feature / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 306, IBISML2014-73, pp. 287-292, Nov. 2014.
Paper # IBISML2014-73 
Date of Issue 2014-11-10 (IBISML) 
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)
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Conference Information
Committee IBISML  
Conference Date 2014-11-17 - 2014-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IBISML 
Conference Code 2014-11-IBISML 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Combination of LSTM and CNN on recognizing mathematical symbols 
Sub Title (in English)  
Keyword(1) Convolutional Neural Network  
Keyword(2) LSTM  
Keyword(3) DropOut  
Keyword(4) Shape Context Feature  
Keyword(5) Directional Feature  
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1st Author's Name Hai Nguyen Dai  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Anh Le Duc  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Masaki Nakagawa  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker
Date Time 2014-11-18 15:00:00 
Presentation Time 180 
Registration for IBISML 
Paper # IEICE-IBISML2014-73 
Volume (vol) IEICE-114 
Number (no) no.306 
Page pp.287-292 
#Pages IEICE-6 
Date of Issue IEICE-IBISML-2014-11-10 


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