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| Presentation | 2019-03-05 17:05 Detecting the Number of Compartments Using Convolutional Neural Network Takayuki Koga, Yuta Takahashi, Shuntaro Okazaki, Rieko Osu (Waseda Univ.)  NC2018-74 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | n this study, we examined the compartment counting ability of Convolutional Neural Network (CNN) using images that are controlled for their features (i.e. brightness, shape, and the number of lines that divided compartments). We trained the CNN by images with limited features and tested its generalizability by images that are different from training data in the shape combination and shape itself. Consequently, the CNN achieved approximately 56% accuracy in the generalization test. This result indicated that the CNN learned to count the division of compartments without identifying the shape of the compartments. Our findings suggested that although the acquired counting ability in the CNN is still imperfect it may not be so far from the concept of number in human. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural Network / Concept Acquisition / Counting / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 470, NC2018-74, pp. 163-168, March 2019. | |
| Paper # | NC2018-74 | |
| Date of Issue | 2019-02-25 (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 | NC2018-74 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2019-03-04 - 2019-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Electro Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2019-03-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detecting the Number of Compartments Using Convolutional Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Neural Network |
| Keyword(2) | Concept Acquisition |
| Keyword(3) | Counting |
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| 1st Author's Name | Takayuki Koga |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Yuta Takahashi |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Shuntaro Okazaki |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Rieko Osu |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-05 17:05:00 |
| Presentation Time | 15 minutes |
| Registration for | NC |
| Paper # | NC2018-74 |
| Volume (vol) | vol.118 |
| Number (no) | no.470 |
| Page | pp.163-168 |
| #Pages | 6 |
| Date of Issue | 2019-02-25 (NC) |
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