Francesco Fusco, Michael Wurst, et al.
ICPR 2012
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
Francesco Fusco, Michael Wurst, et al.
ICPR 2012
Kun Wang, Juwei Shi, et al.
PACT 2011
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding
David S. Bowers, Alan Hayes, et al.
UKICER 2023