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Paper Abstract and Keywords
Presentation 2017-06-23 17:40
Kansei analysis of landscape images by Tensor SOM -- Simultaneous analysis of evaluators, subjects, and evaluation words --
Kyouhei Itonaga (Kyutech), Tohru Iwasaki (Colorcle), Kaori Yoshida, Tetsuo Furukawa (Kyutech) NC2017-12
Abstract (in Japanese) (See Japanese page) 
(in English) In the field of Kansei evaluation, it is investigated and analyzed by using evaluation words with various subjects and objects. However, the combination of the subjects, the objects, and the evaluation words is enormous, and exhaustive analysis is not easy. In this paper, we propose a method to simultaneously analyze their relationship. Tensor SOM, the proposed method, enables to visualize the relation by simultaneously generating three maps corresponding to subjects, objects, and evaluation words. Furthermore, Tensor SOM enables to visualize the relationship by coloring. We show the results of visualization of the relationship among subject, object, and evaluation word by analyzing the set of landscape images.
Keyword (in Japanese) (See Japanese page) 
(in English) Tensor SOM / kansei analysis / self-organizing map / tensor analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 109, NC2017-12, pp. 45-50, June 2017.
Paper # NC2017-12 
Date of Issue 2017-06-16 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NC2017-12

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2017-06-23 - 2017-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To NC 
Conference Code 2017-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Kansei analysis of landscape images by Tensor SOM 
Sub Title (in English) Simultaneous analysis of evaluators, subjects, and evaluation words 
Keyword(1) Tensor SOM  
Keyword(2) kansei analysis  
Keyword(3) self-organizing map  
Keyword(4) tensor analysis  
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1st Author's Name Kyouhei Itonaga  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Tohru Iwasaki  
2nd Author's Affiliation Colorcle Inc. (Colorcle)
3rd Author's Name Kaori Yoshida  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
4th Author's Name Tetsuo Furukawa  
4th Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Date Time 2017-06-23 17:40:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2017-12 
Volume (vol) vol.117 
Number (no) no.109 
Page pp.45-50 
#Pages
Date of Issue 2017-06-16 (NC) 


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