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Paper Abstract and Keywords
Presentation 2010-09-06 09:00
Sequential Pattern Recognition by Local Classifiers and Dynamic Time Warping
Masahiro Fukutomi, Koichi Ogawara, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2010-77 IBISML2010-49
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes a method for recognizing sequential patterns with nonlinear time warping. The proposed method uses a sequence of local classifiers, each of which is prepared to provide a recognition result (i.e., class label) at a certain sample point. In addition, in order to compensate nonlinear time warping, the local classifier of the point $v$ has to be assigned to the point $t_v$ of the prototype sequential pattern. Consequently, we must solve the optimal labeling problem and the optimal point-to-point correspondence problem (i.e., the optimal mapping from $v$ to $t_v$) simultaneously. In the proposed method, this multiple optimization problem is tackled by graph cut. Specifically, the $\alpha$-expansion algorithm, which is an approximation algorithm for graph cut problems, is employed. After the solving the problem, the input pattern is recognized based on majority voting of the class labels obtained at the local classifiers. Several penalties are introduced for forcing neighboring local classifiers to have the same class labels and continuous point-to-point correspondence. For observing the validity of the proposed method, it was applied to an online character recognition task.
Keyword (in Japanese) (See Japanese page) 
(in English) sequential pattern recognition / majority voting / online character recognition / graph cut / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 187, PRMU2010-77, pp. 157-164, Sept. 2010.
Paper # PRMU2010-77 
Date of Issue 2010-08-29 (PRMU, IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 PRMU IPSJ-CVIM  
Conference Date 2010-09-05 - 2010-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine learning and optimization for computer vision and pattern recognition, etc. 
Paper Information
Registration To PRMU 
Conference Code 2010-09-IBISML-PRMU-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sequential Pattern Recognition by Local Classifiers and Dynamic Time Warping 
Sub Title (in English)  
Keyword(1) sequential pattern recognition  
Keyword(2) majority voting  
Keyword(3) online character recognition  
Keyword(4) graph cut  
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1st Author's Name Masahiro Fukutomi  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Koichi Ogawara  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yaokai Feng  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Seiichi Uchida  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2010-09-06 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-77, IBISML2010-49 
Volume (vol) vol.110 
Number (no) no.187(PRMU), no.188(IBISML) 
Page pp.157-164 
#Pages
Date of Issue 2010-08-29 (PRMU, IBISML) 


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