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Pattern recognition using discriminative feature extraction

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3 Author(s)
Biem, A. ; ATR Human Inf. Process. Res. Labs., Kyoto, Japan ; Katagiri, S. ; Biing-Hwang Juang

We propose a new design method, called discriminative feature extraction for practical modular pattern recognizers. A key concept of discriminative feature extraction is the design of an overall recognizer in a manner consistent with recognition error minimization. The utility of the method is demonstrated in a Japanese vowel recognition task

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Signal Processing, IEEE Transactions on  (Volume:45 ,  Issue: 2 )