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Paper Abstract and Keywords
Presentation 2021-01-21 11:15
Unsupervised Kernel Regression with Landmarks for Large Relational Data -- Toward Visual Analytics Method for Complex Relational Data --
Shuhei Takano, Ryo Tsuno, Kazuki Noguchi, Kazuki Miyazaki, Tetsuo Furukawa (KIT) NC2020-32
Abstract (in Japanese) (See Japanese page) 
(in English) The aim of this work is to develop a nonlinear modeling method of large-scale relational data． For this purpose, we extended the unsupervised kernel regression for relational data. Furthermore, we made the sparse approximation by introducing landmark points into the latent spaces. As a result, we achieved a linear computational order to the data size.
Keyword (in Japanese) (See Japanese page) 
(in English) Relational data analysis / Interactive Visualization / Rarge data / Visual Analytics / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 331, NC2020-32, pp. 1-6, Jan. 2021.
Paper # NC2020-32 
Date of Issue 2021-01-14 (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 NC2020-32

Conference Information
Committee NC NLP  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC，NLP 
Paper Information
Registration To NC 
Conference Code 2021-01-NC-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Unsupervised Kernel Regression with Landmarks for Large Relational Data 
Sub Title (in English) Toward Visual Analytics Method for Complex Relational Data 
Keyword(1) Relational data analysis  
Keyword(2) Interactive Visualization  
Keyword(3) Rarge data  
Keyword(4) Visual Analytics  
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Keyword(6)  
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1st Author's Name Shuhei Takano  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Ryo Tsuno  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Kazuki Noguchi  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
4th Author's Name Kazuki Miyazaki  
4th Author's Affiliation Kyushu Institute of Technology (KIT)
5th Author's Name Tetsuo Furukawa  
5th Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2021-01-21 11:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2020-32 
Volume (vol) vol.120 
Number (no) no.331 
Page pp.1-6 
#Pages 6 
Date of Issue 2021-01-14 (NC) 

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