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Paper Abstract and Keywords
Presentation 2021-02-12 15:10
Applying kernel density estimation to time series data using asymmetric kernel function
So Fukai, Keisuke Yamazaki, Yoichi Motomura (AIST) AI2020-33
Abstract (in Japanese) (See Japanese page) 
(in English) This study proposes several asymmetric kernel functions and their availability of applying to time series data. The kernel density estimation is often used to calculate probability density of the parent population from the sample data. Especially in time series data, probability densities at before and after the event are not always symmetric. But the kernel functions applied in this approach are mostly symmetric and may not reflect the features of the data enough. In this study, asymmetric kernel functions are applied to the travel data of vehicles and the result shows the availability of applying asymmetric kernel functions to time series data.
Keyword (in Japanese) (See Japanese page) 
(in English) Kernel Density Estimation / Visualization / KDE / time series / kernel function / Automobile / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 362, AI2020-33, pp. 56-59, Feb. 2021.
Paper # AI2020-33 
Date of Issue 2021-02-05 (AI) 
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 AI2020-33

Conference Information
Committee AI  
Conference Date 2021-02-12 - 2021-02-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2021-02-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Applying kernel density estimation to time series data using asymmetric kernel function 
Sub Title (in English)  
Keyword(1) Kernel Density Estimation  
Keyword(2) Visualization  
Keyword(3) KDE  
Keyword(4) time series  
Keyword(5) kernel function  
Keyword(6) Automobile  
Keyword(7)  
Keyword(8)  
1st Author's Name So Fukai  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
2nd Author's Name Keisuke Yamazaki  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Yoichi Motomura  
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2021-02-12 15:10:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2020-33 
Volume (vol) vol.120 
Number (no) no.362 
Page pp.56-59 
#Pages 4 
Date of Issue 2021-02-05 (AI) 

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