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Paper Abstract and Keywords
Presentation 2015-12-21 09:30
Evaluation of Automatic Prototype-Model Size Optimization in Large Geometric Margin Minimum Classification Error Training
Masahiro Ogino (Doshisha Univ.), Hideyuki Watanabe (NICT), Shigeru Katagiri, Miho Osaki (Doshisha Univ.), Xugang Lu, Hisashi Kawai (NICT) PRMU2015-100
Abstract (in Japanese) (See Japanese page) 
(in English) To develop a method for nding an appropriate class model size, which leads to accurate classi cation over unseen pattern samples, we investigate a method of automatically optimizing the number of prototypes for multi-prototype classi ers trained with the Large Geometric Margin Minimum Classi cation Error training. In
the paper, we propose a new, training-sample-clustering-based procedure of prototype setting, and experimentally demonstrate the utility of the automatic optimization method using the new procedure.
Keyword (in Japanese) (See Japanese page) 
(in English) Large geometric margin minimum classi cation error training / Automatic class model size optimiza- tion / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 388, PRMU2015-100, pp. 1-6, Dec. 2015.
Paper # PRMU2015-100 
Date of Issue 2015-12-14 (PRMU) 
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 PRMU  
Conference Date 2015-12-21 - 2015-12-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2015-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Automatic Prototype-Model Size Optimization in Large Geometric Margin Minimum Classification Error Training 
Sub Title (in English)  
Keyword(1) Large geometric margin minimum classi cation error training  
Keyword(2) Automatic class model size optimiza- tion  
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1st Author's Name Masahiro Ogino  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Hideyuki Watanabe  
2nd Author's Affiliation National Institute of Information and Communications Technology (NICT)
3rd Author's Name Shigeru Katagiri  
3rd Author's Affiliation Doshisha University (Doshisha Univ.)
4th Author's Name Miho Osaki  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
5th Author's Name Xugang Lu  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Hisashi Kawai  
6th Author's Affiliation National Institute of Information and Communications Technology (NICT)
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Speaker Author-1 
Date Time 2015-12-21 09:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2015-100 
Volume (vol) vol.115 
Number (no) no.388 
Page pp.1-6 
#Pages 6 
Date of Issue 2015-12-14 (PRMU) 

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