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| Presentation | 2021-03-05 13:50 DCSOM with Ensemble Learning Classifier Akito Takahashi, Yukari Yamauchi (Nihon Univ)  NC2020-71 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Deep Convolutional Self-Organizing Map (DCSOM) which extracts visual features from images by using self-organizing maps was proposed by Saleh et al last year. DCSOM is robust to noise and experimental results using noisy handwritten digits shows that the performance of DCSOM outperforms state-of-the-art methods. However, due to DCSOM uses support vector machine, which is a binary classifier, for classification after feature extraction, its performance degrades as the number of classes increases, and it requires strict parameter tuning to avoid overlearning. In this research, we propose to use a hierarchical neural network, which is a multiclass classifier, like fully connected layers in Convolutional Neural Network. Furthermore, we try to avoid overfitting without adjusting parameters by applying ensemble learning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Self-Organizing Maps / Deep Convolutional Self-Organizing Maps / Ensemble Learning / Handwriting Recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 403, NC2020-71, pp. 163-168, March 2021. | |
| Paper # | NC2020-71 | |
| Date of Issue | 2021-02-24 (NC) | |
| ISSN | 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 | NC2020-71 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | DCSOM with Ensemble Learning Classifier |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Maps |
| Keyword(2) | Deep Convolutional Self-Organizing Maps |
| Keyword(3) | Ensemble Learning |
| Keyword(4) | Handwriting Recognition |
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| 1st Author's Name | Akito Takahashi |
| 1st Author's Affiliation | Nihon University (Nihon Univ) |
| 2nd Author's Name | Yukari Yamauchi |
| 2nd Author's Affiliation | Nihon University (Nihon Univ) |
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| Speaker | Author-1 |
| Date Time | 2021-03-05 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-71 |
| Volume (vol) | vol.120 |
| Number (no) | no.403 |
| Page | pp.163-168 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (NC) |
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