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Paper Abstract and Keywords
Presentation 2010-03-11 16:25
Edge Extraction for the Neocognitron
Yuki Makino, Masayuki Kikuchi (Tokyo Univ. of Technology), Kunihiko Fukushima, Isao Hayashi (Kansai Univ.), Hayaru Shouno (Univ. of Electro-Communications) NC2009-156
Abstract (in Japanese) (See Japanese page) 
(in English) Neural network model neocognitron has an ability of robust visual pattern recognition. Feature-extracting cells, called S-cells, in the first stage of the neocognitron, extract oriented edges from input patterns. Under certain conditions, however, the S-cells yield spurious outputs in the places where edges do not actually exist. Occurrence of the spurious edge might lower the recognition rate. To suppress spurious responses, in the conventional neocognitron, an inhibitory surround is introduced in the input connections to C-cells, which make a blurring operation. We proposed a new method of edge extraction that suppress spurious edges, and tested how the recognition rate of the neocognitron is improved. As a result, spurious responses have been suppressed, but there was not a large difference in the recognition rate.
Keyword (in Japanese) (See Japanese page) 
(in English) neocognitron / neural network / S-cell / feature extraction / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 461, NC2009-156, pp. 403-406, March 2010.
Paper # NC2009-156 
Date of Issue 2010-03-02 (NC) 
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 NC2009-156

Conference Information
Committee NC MBE  
Conference Date 2010-03-09 - 2010-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NC 
Conference Code 2010-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Edge Extraction for the Neocognitron 
Sub Title (in English)  
Keyword(1) neocognitron  
Keyword(2) neural network  
Keyword(3) S-cell  
Keyword(4) feature extraction  
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1st Author's Name Yuki Makino  
1st Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Technology)
2nd Author's Name Masayuki Kikuchi  
2nd Author's Affiliation Tokyo University of Technology (Tokyo Univ. of Technology)
3rd Author's Name Kunihiko Fukushima  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Isao Hayashi  
4th Author's Affiliation Kansai University (Kansai Univ.)
5th Author's Name Hayaru Shouno  
5th Author's Affiliation University of Electro-Communications (Univ. of Electro-Communications)
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Speaker Author-1 
Date Time 2010-03-11 16:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2009-156 
Volume (vol) vol.109 
Number (no) no.461 
Page pp.403-406 
#Pages 4 
Date of Issue 2010-03-02 (NC) 

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