—We address the problem of determining what size test set guarantees statistically significant results in a character recognition task, as a function of the expected error rate. ...
Isabelle Guyon, John Makhoul, Richard M. Schwartz,...
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...
—A novel nonsequential indexing mechanism (termed phonetic set indexing) has been evaluated for the purpose of fast word pre-selection. Our approach to handling the lexical acces...
—We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American Sign Language (ASL) using a single camera to track the user’s una...