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| 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 |
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| 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 |
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| 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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