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| Presentation | 2019-03-06 13:30 Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors Takeshi Mori, Junichi Takeuchi, Masanori Kawakita (Kyushu Univ.)  IBISML2018-115 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a method of acceleration of boosting discriminators. Discriminant functions used for boosting are constructed by linearly combining many low accuracy classifiers called weak classifiers. Often, a large number of weak classifiers are required to perform high accuracy classification, so that it may be a practical problem that the computational complexity of the discriminant function increases. In this paper, we consider a method to evaluate the discriminant function quickly without reducing the accuracy of the boosting discriminant function. There is already a method proposed by Utsumi et al. and Izumi et al. as a high-speed evaluation method. In this research, we propose a method which improves their method by dividing the feature space and optimally tuning and applying their method for each divided region. Here, the partition of the feater space is determined by the given data. We applied the proposed method to boosting based face detectors to evaluate its computation time. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | boosting / face detection / acceleration technique / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 472, IBISML2018-115, pp. 73-80, March 2019. | |
| Paper # | IBISML2018-115 | |
| Date of Issue | 2019-02-26 (IBISML) | |
| 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 | IBISML2018-115 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2019-03-05 - 2019-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | RIKEN AIP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2019-03-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors |
| Sub Title (in English) | |
| Keyword(1) | boosting |
| Keyword(2) | face detection |
| Keyword(3) | acceleration technique |
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| 1st Author's Name | Takeshi Mori |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Junichi Takeuchi |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Masanori Kawakita |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-03-06 13:30:00 |
| Presentation Time | 30 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-115 |
| Volume (vol) | vol.118 |
| Number (no) | no.472 |
| Page | pp.73-80 |
| #Pages | 8 |
| Date of Issue | 2019-02-26 (IBISML) |
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