Jeffrey Heer, Adam Perer
VAST 2011
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
Jeffrey Heer, Adam Perer
VAST 2011
Jonathan H. Connell, Nalini K. Ratha, et al.
ICIP 2002
Hiroyasu Takahashi
ICPR 1992
Tianwen Qian, Jingjing Chen, et al.
IEEE TMM