C.H. Morimoto, D. Koons, et al.
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
C.H. Morimoto, D. Koons, et al.
Image and Vision Computing
Alejandro Jaimes, Andrew Senior, et al.
MM 2005
Fanhua Shang, L.C. Jiao, et al.
CIKM 2012
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VIS 1991