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| Presentation | 2016-10-20 16:10 On the composition systems and their application to handwritten character recognition Akira Date, Hikari Kubota, Yusuke Yamada (Univ. Miyazaki)  PRMU2016-94 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Most of the pattern recognition methods currently used in the real world application are statistical ones, such as feedforward neural networks, Markov random fields while syntactical or grammatical approaches are not exploited. Since current generation feedforaward neural networks are expected not to be able to learn the underlying structure of the outer world, we believe that grammatical approach is promising. S. Geman et al.(1998) developed mathematical foundations of composition systems. Compositionality is with re-usability and hierarchy, and we see it everywhere (e.g. vision, natural language). Here we illustrate the composition systems and the experiments we did with hand-written character. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Composition Systems / Reusable Parts / Part-Whole Hierarchy / Generative Models / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 259, PRMU2016-94, pp. 19-24, Oct. 2016. | |
| Paper # | PRMU2016-94 | |
| Date of Issue | 2016-10-13 (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 | PRMU2016-94 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2016-10-20 - 2016-10-21 |
| 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 | 2016-10-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On the composition systems and their application to handwritten character recognition |
| Sub Title (in English) | |
| Keyword(1) | Composition Systems |
| Keyword(2) | Reusable Parts |
| Keyword(3) | Part-Whole Hierarchy |
| Keyword(4) | Generative Models |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Akira Date |
| 1st Author's Affiliation | University of Miyazaki (Univ. Miyazaki) |
| 2nd Author's Name | Hikari Kubota |
| 2nd Author's Affiliation | University of Miyazaki (Univ. Miyazaki) |
| 3rd Author's Name | Yusuke Yamada |
| 3rd Author's Affiliation | University of Miyazaki (Univ. Miyazaki) |
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| Speaker | Author-1 |
| Date Time | 2016-10-20 16:10:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2016-94 |
| Volume (vol) | vol.116 |
| Number (no) | no.259 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2016-10-13 (PRMU) |
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