Discriminative feature weighting for HMM-based continuous speech recognizers
Speech Communication
Discriminative Dimensionality Reduction Based on Generalized LVQ
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Minimum Classification Error Training for Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
FDI based on pattern recognition using Kalman prediction: Application to an induction machine
Engineering Applications of Artificial Intelligence
SVM decision boundary based discriminative subspace induction
Pattern Recognition
Application of NSGA-II to feature selection for facial expression recognition
Computers and Electrical Engineering
Polynomial network classifier with discriminative feature extraction
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Pattern Recognition Letters
| Hi-index | 35.68 |
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