DocumentCode
1646911
Title
Close-class-set discrimination method for large-class-set pattern recognition using support vector machines
Author
Sekhar, C. Chandra ; Takeda, Kazuya ; Itakura, Fumitada
Author_Institution
Dept. of Inf. Electron., Nagoya Univ., Japan
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
577
Lastpage
582
Abstract
In conventional approaches for multi-class pattern recognition using support vector machines, learning involves discrimination of each class against all the other classes. In the close-class-set discrimination method, learning involves discrimination of each class against a subset of classes confusable with it. The effectiveness of the proposed method is demonstrated for 80-class consonant-vowel recognition
Keywords
decision theory; directed graphs; learning automata; pattern recognition; 80-class consonant-vowel recognition; close-class-set discrimination method; large-class-set pattern recognition; multi-class pattern recognition; support vector machines; Context modeling; Frequency; Learning systems; Machine learning; Pattern classification; Pattern recognition; Speech recognition; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005536
Filename
1005536
Link To Document