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Close-class-set discrimination method for large-class-set pattern recognition using support vector machines

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3 Author(s)
Sekhar, C.C. ; Dept. of Inf. Electron., Nagoya Univ., Japan ; Takeda, K. ; Itakura, F.

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

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Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:1 )

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