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Paper Abstract and Keywords
Presentation 2020-01-24 10:30
Visualization of Relational data by Embedding to Direct Product Space
Kazuki Miyazaki, Ryuji Watanabe, Tetsuo Furukawa (Kyutech) NC2019-63
Abstract (in Japanese) (See Japanese page) 
(in English) The aim of this work is to develop a modeling method of relational data. Relational data is a dataset observed obtained from object pairs belonging to several domains. The task of the proposed method is to embed the objects into the direct product latent spaces, each of which is corresponding to the domain. In this work, we employed the kernel soother to represent the product manifold, and it estimates the latent variables by a non-parametric unsupervised manner.
Keyword (in Japanese) (See Japanese page) 
(in English) Relational data analysis / Visualization / Kernel smoother / Product manifold / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 382, NC2019-63, pp. 23-26, Jan. 2020.
Paper # NC2019-63 
Date of Issue 2020-01-16 (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 NC2019-63

Conference Information
Committee NLP NC  
Conference Date 2020-01-23 - 2020-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyakojima Marine Terminal 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2020-01-NLP-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Visualization of Relational data by Embedding to Direct Product Space 
Sub Title (in English)  
Keyword(1) Relational data analysis  
Keyword(2) Visualization  
Keyword(3) Kernel smoother  
Keyword(4) Product manifold  
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1st Author's Name Kazuki Miyazaki  
1st Author's Affiliation Kyushu Institute of Technology (Kyutech)
2nd Author's Name Ryuji Watanabe  
2nd Author's Affiliation Kyushu Institute of Technology (Kyutech)
3rd Author's Name Tetsuo Furukawa  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2020-01-24 10:30:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2019-63 
Volume (vol) vol.119 
Number (no) no.382 
Page pp.23-26 
#Pages 4 
Date of Issue 2020-01-16 (NC) 

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