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Paper Abstract and Keywords
Presentation 2013-03-14 16:30
Learning Process Visualization of LVQ and Learning Observation at Place where Turning Point Exists
Yoshiaki Kurosawa (Toshiab Solutions) PRMU2012-198
Abstract (in Japanese) (See Japanese page) 
(in English) LVQ is one of the basic learning methods in the field of pattern recognition and it can be described by probabilistic descent method. From this aspect, it becomes one of steepest descent method applications. By this concept, the movement of recognition parameters, which are all the reference vector values of LVQ, is observable during learning. This observation technique was applied to the case of a handwritten numerical character recognition experiment. The case reported here was happened to be found in the experiment, and it was that the error rates obtained from almost same learning strength became largely different. As a result of the observation, a turning point was found where the two almost same learning processes were divided and introduced to two different learning processes which had largely different results.
Keyword (in Japanese) (See Japanese page) 
(in English) LVQ / probabilistic descent / steepest descent / learning / OCR / visualization / turning point /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 495, PRMU2012-198, pp. 105-110, March 2013.
Paper # PRMU2012-198 
Date of Issue 2013-03-07 (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)
Download PDF PRMU2012-198

Conference Information
Committee PRMU  
Conference Date 2013-03-14 - 2013-03-15 
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 2013-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Learning Process Visualization of LVQ and Learning Observation at Place where Turning Point Exists 
Sub Title (in English)  
Keyword(1) LVQ  
Keyword(2) probabilistic descent  
Keyword(3) steepest descent  
Keyword(4) learning  
Keyword(5) OCR  
Keyword(6) visualization  
Keyword(7) turning point  
Keyword(8)  
1st Author's Name Yoshiaki Kurosawa  
1st Author's Affiliation Toshiba Solutions Corporation (Toshiab Solutions)
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Speaker Author-1 
Date Time 2013-03-14 16:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-198 
Volume (vol) vol.112 
Number (no) no.495 
Page pp.105-110 
#Pages 6 
Date of Issue 2013-03-07 (PRMU) 

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