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| Presentation | 2018-11-10 09:00 Short Time Learning in Location Recognition Based on Infrared Sensor Array Ryo Ota, Qiangfu Zhao (UOA)  KBSE2018-35 SC2018-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The aim of this paper is to reveal the usefulness and possibility of a sparse infrared sensor array for building a smart home. Our previous results show that human locations can be recognized very accurately using the sensor array data. However, the results were obtained using k-fold cross-validation. That is, the percentage of data used for training is relatively large, and the test results may not show the generalization ability correctly. In this paper, we use a small training set that contains data observed in a completely different time interval as the test data. This means that the testing data are completely unknown for the machine learner. New experimental results show that training data obtained in a surprisingly short time are enough to build a machine learner that can recognize specific human locations (when other factors are fixed). This fact provides important insights for our future studies to shorten experiment time and to realize a real smart home. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Smart Home / Machine Learning / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 293, SC2018-30, pp. 43-46, Nov. 2018. | |
| Paper # | SC2018-30 | |
| Date of Issue | 2018-11-02 (KBSE, SC) | |
| 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 | KBSE2018-35 SC2018-30 |
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| Conference Information | |
| Committee | KBSE SC |
| Conference Date | 2018-11-09 - 2018-11-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | SC |
| Conference Code | 2018-11-KBSE-SC |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Short Time Learning in Location Recognition Based on Infrared Sensor Array |
| Sub Title (in English) | |
| Keyword(1) | Smart Home |
| Keyword(2) | Machine Learning |
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| 1st Author's Name | Ryo Ota |
| 1st Author's Affiliation | University of Aizu (UOA) |
| 2nd Author's Name | Qiangfu Zhao |
| 2nd Author's Affiliation | University of Aizu (UOA) |
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| Speaker | Author-1 |
| Date Time | 2018-11-10 09:00:00 |
| Presentation Time | 30 minutes |
| Registration for | SC |
| Paper # | KBSE2018-35, SC2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | no.292(KBSE), no.293(SC) |
| Page | pp.43-46 |
| #Pages | 4 |
| Date of Issue | 2018-11-02 (KBSE, SC) |
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