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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IBISML2014-73 |
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) |
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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) |
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Keyword(1) |
Convolutional Neural Network |
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LSTM |
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DropOut |
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Shape Context Feature |
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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 |
Author-1 |
Date Time |
2014-11-18 15:00:00 |
Presentation Time |
180 minutes |
Registration for |
IBISML |
Paper # |
IBISML2014-73 |
Volume (vol) |
vol.114 |
Number (no) |
no.306 |
Page |
pp.287-292 |
#Pages |
6 |
Date of Issue |
2014-11-10 (IBISML) |