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| Presentation | 2022-11-24 10:20 Reconstructing of Vocal Fold Vibration Video by Echo State Network and Dimensionality Reduction Tomu Noguchi, Kota Shiozawa, Isao Tokuda (Ritsumeikan Univ.)  NLP2022-56 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Video data provides an effective means for capturing the dynamics of experimental object. The dimensionality that actually governs the dynamics could be smaller than that of the raw video data. In this paper, we show that the video data, the dimensionality of which is reduced by principal component analysis, can be trained on an Echo State Network. The Echo State Network can reconstruct the original video with a good accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Dimensionality Reduction / Reservoir Computing / Auto Encoder / Video Analysis / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 280, NLP2022-56, pp. 1-4, Nov. 2022. | |
| Paper # | NLP2022-56 | |
| Date of Issue | 2022-11-17 (NLP) | |
| 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 | NLP2022-56 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2022-11-24 - 2022-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2022-11-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Reconstructing of Vocal Fold Vibration Video by Echo State Network and Dimensionality Reduction |
| Sub Title (in English) | |
| Keyword(1) | Dimensionality Reduction |
| Keyword(2) | Reservoir Computing |
| Keyword(3) | Auto Encoder |
| Keyword(4) | Video Analysis |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Tomu Noguchi |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name | Kota Shiozawa |
| 2nd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 3rd Author's Name | Isao Tokuda |
| 3rd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-11-24 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2022-56 |
| Volume (vol) | vol.122 |
| Number (no) | no.280 |
| Page | pp.1-4 |
| #Pages | 4 |
| Date of Issue | 2022-11-17 (NLP) |
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