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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005536
