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Paper Abstract and Keywords
Presentation 2004-11-18 13:00
Facial expression analysis by ICA-EMC considering class-features
Isao Eguchi, Kazunori Kotani (JAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) This report includes ICA (Independent Component Analysis) as one of
method for facial expression analysis.
The basis derived by ICA is nonorthogonality, has a possibility of
representing facial expression-features with accuracy compared to PCA.
Since ICA does not derive the basis considered class-features, is
expected to separate each expression-classes by considering class-features.
This report describes a new method named ICA-EMC. ICA-EMC uses the basis
from EMC (Eigen-space Method based on Class-features) for ICA in facial expression analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) facial expression analysis / eigen-space method / independent component analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 104, no. 447, PRMU2004-98, pp. 31-36, Nov. 2004.
Paper # PRMU2004-98 
Date of Issue 2004-11-11 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2004-11-18 - 2004-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2004-11-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Facial expression analysis by ICA-EMC considering class-features 
Sub Title (in English)  
Keyword(1) facial expression analysis  
Keyword(2) eigen-space method  
Keyword(3) independent component analysis  
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1st Author's Name Isao Eguchi  
1st Author's Affiliation JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (JAIST)
2nd Author's Name Kazunori Kotani  
2nd Author's Affiliation JAPAN ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (JAIST)
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Speaker Author-1 
Date Time 2004-11-18 13:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2004-98 
Volume (vol) vol.104 
Number (no) no.447 
Page pp.31-36 
#Pages
Date of Issue 2004-11-11 (PRMU) 


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