Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2008-01-31 17:05
Efficient Classification for Gaussian Mixture Models with Interval Calculation
Shogo Muramatsu, Tsutomu Watanabe, Hidenori Watanabe (Niigata Univ.) CAS2007-93
Abstract (in Japanese) (See Japanese page) 
(in English) This work proposes an efficient Bayesian decision scheme for Gaussian mixture models (GMM). Statistical pattern classification problems with the Bayesian decision theorem often meet a situation that comparison between posterior probabilities of classes is obvious. In this work, the comparison for GMM is reduced to simple interval calculations. The exponential function is replaced by scaling and multiplication with powers of two, and the decision if the comparison is obvious and which class is most likely is efficiently calculated. For unclear cases, a refinement process is also proposed, where the computational accuracy is successively refined. In order to verify the significance, experimental results of the application to a skin color classifier are shown. It is shown that the classification for over 99.5% of all observed data was completed without any refinement process, and that the refinement process was able to complete all decision. The proposed method enables us to save redundant exponential operations and is expected for DSP or LSI implementation with low power consumption.
Keyword (in Japanese) (See Japanese page) 
(in English) Pattern classification / Bayesian decision / Gaussian mixture models / Exponential function / DSP / LSI / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 475, CAS2007-93, pp. 55-60, Jan. 2008.
Paper # CAS2007-93 
Date of Issue 2008-01-24 (CAS) 
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)
Download PDF CAS2007-93

Conference Information
Committee CAS  
Conference Date 2008-01-31 - 2008-02-01 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CAS 
Conference Code 2008-01-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Classification for Gaussian Mixture Models with Interval Calculation 
Sub Title (in English)  
Keyword(1) Pattern classification  
Keyword(2) Bayesian decision  
Keyword(3) Gaussian mixture models  
Keyword(4) Exponential function  
Keyword(5) DSP  
Keyword(6) LSI  
Keyword(7)  
Keyword(8)  
1st Author's Name Shogo Muramatsu  
1st Author's Affiliation Niigata University (Niigata Univ.)
2nd Author's Name Tsutomu Watanabe  
2nd Author's Affiliation Niigata University (Niigata Univ.)
3rd Author's Name Hidenori Watanabe  
3rd Author's Affiliation Niigata University (Niigata Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-2 
Date Time 2008-01-31 17:05:00 
Presentation Time 25 minutes 
Registration for CAS 
Paper # CAS2007-93 
Volume (vol) vol.107 
Number (no) no.475 
Page pp.55-60 
#Pages 6 
Date of Issue 2008-01-24 (CAS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan