J Knapman
Image and Vision Computing
A supervised classifier is described where a systematic search through a training database produced an efficacious set of prototypes for its operation. Using this technique, two studies, one dealing with phone recognition and another with large-vocabulary speech recognition, were conducted with data from several speakers. The superiority of the supervised classifier design is demonstrated by comparative performance analysis. © 1994 IEEE
J Knapman
Image and Vision Computing
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
Jorge L.C. Sanz
Pattern Recognition
Rakesh Mohan, Ramakant Nevatia
IEEE Transactions on Pattern Analysis and Machine Intelligence