Andrea Bartezzaghi, Ioana Giurgiu, et al.
IEEE MELECON 2022
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
Andrea Bartezzaghi, Ioana Giurgiu, et al.
IEEE MELECON 2022
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025
Rudra M. Tripathy, Amitabha Bagchi, et al.
Intelligent Data Analysis