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Paper Abstract and Keywords
Presentation 2006-03-16 17:55
[Special Talk]
Nobuyuki Otsu (AIST)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper (invited talk) presents an outline of our approach and research results towards adaptive and trainable vision systems which the author has been devoted to. First, such an approach is emphasized that is based on the general framework of pattern recognition consisting of two stages of feature extraction; invariant feature extraction as the first geometrical aspect, and discriminant feature extraction as the second statistical aspect. Along the line of the general approach, a scheme of general- purpose adaptive and trainable image recognition comprising Higher-order Local Auto-Correlation (HLAC) feature extraction and multivariate analysis methods so far developed and its several applications are introduced. Finally, some recent researches using extended HLAC (CHLAC) features for several practical applications of motion recognition are presented.
Keyword (in Japanese) (See Japanese page) 
(in English) vision system / pattern recognition / feature extraction / multivariate analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 673, PRMU2005-258, pp. 171-172, March 2006.
Paper # PRMU2005-258 
Date of Issue 2006-03-09 (PRMU) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee PRMU  
Conference Date 2006-03-16 - 2006-03-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2006-03-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English)  
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Keyword(1) vision system  
Keyword(2) pattern recognition  
Keyword(3) feature extraction  
Keyword(4) multivariate analysis  
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1st Author's Name Nobuyuki Otsu  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2006-03-16 17:55:00 
Presentation Time 35 minutes 
Registration for PRMU 
Paper # PRMU2005-258 
Volume (vol) vol.105 
Number (no) no.673 
Page pp.171-172 
#Pages
Date of Issue 2006-03-09 (PRMU) 


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