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Paper Abstract and Keywords
Presentation 2016-01-19 14:20
GPGPU Implementation of the MSD Method for Outlier Detection and Its Experimental Evaluation
Shotaro Asano, Masato Inagi, Shinobu Nagayama, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2015-83 CPSY2015-115 RECONF2015-65
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years,as the information,communication and sensing technologies advance,data streams have been continuously growing in size.To detect data which do not match expected patterns from such a large set of data,outlier detection methods have been being studied.As one of them,the MSD method,which extends a simple outlier detection method based on the Mahalanobis distance,has been proposed.It requires a larger computation time than the simple method,but it realizes more robust outlier detection.To ease the problem of large computation time,in this study,we propose a GPGPU implementation of the MSD method,and perform experimental
evaluations.In the MSD method,before calculating the Mahalanobis distance between the past and new data,the weights of some of the past data which are likely to be outliers are reduced in order to improve the robustness of the detection.In this study,we focus on a fact that it consists of independent processes of randomly generating multiple bases,and thus implement it so that these processes are executed in parallel.In experiments,we confirmed the effectiveness of our proposed implementation.
Keyword (in Japanese) (See Japanese page) 
(in English) Outlier detection / Mahalanobis distance / MSD method / GPU / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 399, CPSY2015-115, pp. 37-42, Jan. 2016.
Paper # CPSY2015-115 
Date of Issue 2016-01-12 (VLD, CPSY, RECONF) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 VLD2015-83 CPSY2015-115 RECONF2015-65

Conference Information
Conference Date 2016-01-19 - 2016-01-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiyoshi Campus, Keio University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) FPGA Applications, etc 
Paper Information
Registration To CPSY 
Conference Code 2016-01-VLD-CPSY-RECONF-SLDM-ARC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GPGPU Implementation of the MSD Method for Outlier Detection and Its Experimental Evaluation 
Sub Title (in English)  
Keyword(1) Outlier detection  
Keyword(2) Mahalanobis distance  
Keyword(3) MSD method  
Keyword(4) GPU  
1st Author's Name Shotaro Asano  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Masato Inagi  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Shinobu Nagayama  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Shin'ichi Wakabayashi  
4th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Date Time 2016-01-19 14:20:00 
Presentation Time 25 
Registration for CPSY 
Paper # IEICE-VLD2015-83,IEICE-CPSY2015-115,IEICE-RECONF2015-65 
Volume (vol) IEICE-115 
Number (no) no.398(VLD), no.399(CPSY), no.400(RECONF) 
Page pp.37-42 
#Pages IEICE-6 
Date of Issue IEICE-VLD-2016-01-12,IEICE-CPSY-2016-01-12,IEICE-RECONF-2016-01-12 

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