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Paper Abstract and Keywords
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
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

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 
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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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