Basel Shbita, Pengyuan Li, et al.
ESWC 2026
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
Basel Shbita, Pengyuan Li, et al.
ESWC 2026
Jorge L.C. Sanz
Pattern Recognition
Hiroyasu Takahashi
ICPR 1992
Thomas Ortner, Lorenzo Pes, et al.
AICAS 2023