Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding
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
Jianchang Mao, Patrick J. Flynn, et al.
Computer Vision and Image Understanding
Tianwen Qian, Jingjing Chen, et al.
IEEE TMM
Hiroyasu Takahashi
ICPR 1992
Fanhua Shang, L.C. Jiao, et al.
CIKM 2012