Apostol Natsev, Milind R. Naphade, et al.
MM 2005
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
Apostol Natsev, Milind R. Naphade, et al.
MM 2005
Eli Schwartz, Leonid Karlinsky, et al.
NeurIPS 2018
Rahul Garg, Rohit Khandekar
ICML 2009
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence