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| Presentation | 2014-11-17 17:00 [Poster Presentation] Feature Extraction for Image Classification using Restricted Boltzmann Machines Reiki Suda, Koujin Takeda (Ibaraki Univ.)  IBISML2014-36 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Learning restricted Boltzmann machines (RBMs) for high-dimensional data using maximum likelihood estimation had been faced with computational complexity. However, after the development of approximation algorithms based on Markov chain Monte Carlo methods, RBMs have been applicable even to high-dimensional data, and playing a central role as feature extractors. In this study, we conduct experiments of feature extraction from handwritten digit images using RBMs and of classification with the extracted features. As classifiers, fast and simple linear classifiers based on confidence-weighted learning are used. Finally, we show that classifiers trained with features extracted by RBMs outperform ones trained with raw data, and from the result we also evaluate the learning performance of the RBMs. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | restricted Boltzmann machines / image recognition / feature extraction / Markov chain Monte Carlo methods / linear classifiers / confidence-weighted learning / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 306, IBISML2014-36, pp. 9-15, Nov. 2014. | |
| Paper # | IBISML2014-36 | |
| Date of Issue | 2014-11-10 (IBISML) | |
| 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 | IBISML2014-36 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2014-11-17 - 2014-11-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2014-11-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Extraction for Image Classification using Restricted Boltzmann Machines |
| Sub Title (in English) | |
| Keyword(1) | restricted Boltzmann machines |
| Keyword(2) | image recognition |
| Keyword(3) | feature extraction |
| Keyword(4) | Markov chain Monte Carlo methods |
| Keyword(5) | linear classifiers |
| Keyword(6) | confidence-weighted learning |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Reiki Suda |
| 1st Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
| 2nd Author's Name | Koujin Takeda |
| 2nd Author's Affiliation | Ibaraki University (Ibaraki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2014-11-17 17:00:00 |
| Presentation Time | 180 minutes |
| Registration for | IBISML |
| Paper # | IBISML2014-36 |
| Volume (vol) | vol.114 |
| Number (no) | no.306 |
| Page | pp.9-15 |
| #Pages | 7 |
| Date of Issue | 2014-11-10 (IBISML) |
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