Pattern recognition using discriminative feature extraction
Alain Biem, Shigeru Katagiri, Biing-Hwang Fred Juang · IEEE Transactions on Signal Processing · 1997
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.