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| Paper Abstract and Keywords | ||
| Presentation | 2015-07-17 10:10 [Invited Talk] Image feature extraction and transfer learning using deep convolutional neural networks Hideki Nakayama (Univ. of Tokyo)  SP2015-45 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Convolutional neural network (CNN) has attracted more and more attention for its remarkable performance in visual recognition. Particularly, it has been shown that features extracted from middle-level layers of CNNs trained with sufficiently large-scale object recognition datasets (typically the ImageNet) are highly generic and that they can be exploited in various domains. In this talk, we will review the history of CNN, and then introduce some case examples of CNNs utilized as a generic feature extractor, and transfer learning through fine-tuning. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep learning / Convolutional neural network / Image feature extraction / Transfer learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 146, SP2015-45, pp. 55-59, July 2015. | |
| Paper # | SP2015-45 | |
| Date of Issue | 2015-07-09 (SP) | |
| 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 | SP2015-45 |
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| Conference Information | |
| Committee | SP IPSJ-SLP |
| Conference Date | 2015-07-16 - 2015-07-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Katakura Suwako Hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech recognition and understanding, dialog system, etc. |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2015-07-SP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Image feature extraction and transfer learning using deep convolutional neural networks |
| Sub Title (in English) | |
| Keyword(1) | Deep learning |
| Keyword(2) | Convolutional neural network |
| Keyword(3) | Image feature extraction |
| Keyword(4) | Transfer learning |
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| 1st Author's Name | Hideki Nakayama |
| 1st Author's Affiliation | The University of Tokyo (Univ. of Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2015-07-17 10:10:00 |
| Presentation Time | 60 minutes |
| Registration for | SP |
| Paper # | SP2015-45 |
| Volume (vol) | vol.115 |
| Number (no) | no.146 |
| Page | pp.55-59 |
| #Pages | 5 |
| Date of Issue | 2015-07-09 (SP) |
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