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Paper Abstract and Keywords
Presentation 2014-06-26 14:15
Distances between Marked Point Processes and their Applications for Discriminant Analysis
Ken Takano, Mei Kobayashi (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Noboru Murata (Waseda Univ.) NC2014-4 IBISML2014-4
Abstract (in Japanese) (See Japanese page) 
(in English) A simple point process is a type of a random process expressed only by times at which events happen. A marked point process is an extension of a simple point process, which is expressed by times and values of events. Distance measures between simple and marked point processes are of importance for various data analyses. In this work, a method for calculating distance between time-windowed marked point processes is proposed. The proposed method is based on the extensions of conventional measure for simple point processes to marked point processes. The method combines various distance matrices of marked point processes by using the random forest algorithm taking into account the locality expressed by each distance. The proposed method is applied to seismic data analysis and shown to improve conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Marked Point Process / Classification / Random Forest / Seismic Data Analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 105, IBISML2014-4, pp. 83-89, June 2014.
Paper # IBISML2014-4 
Date of Issue 2014-06-18 (NC, IBISML) 
ISSN Print edition: ISSN 0913-5685  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)
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Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2014-06-25 - 2014-06-27 
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 IBISML 
Conference Code 2014-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distances between Marked Point Processes and their Applications for Discriminant Analysis 
Sub Title (in English)  
Keyword(1) Marked Point Process  
Keyword(2) Classification  
Keyword(3) Random Forest  
Keyword(4) Seismic Data Analysis  
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1st Author's Name Ken Takano  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Mei Kobayashi  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Hideitsu Hino  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
4th Author's Name Noboru Murata  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker
Date Time 2014-06-26 14:15:00 
Presentation Time 25 
Registration for IBISML 
Paper # IEICE-NC2014-4,IEICE-IBISML2014-4 
Volume (vol) IEICE-114 
Number (no) no.104(NC), no.105(IBISML) 
Page pp.83-89 
#Pages IEICE-7 
Date of Issue IEICE-NC-2014-06-18,IEICE-IBISML-2014-06-18 


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