The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
In a spoken dialog system, determining which action a machine should take in a given situation is a difficult problem because automatic speech recognition is unreliable and hence ...
Abstract. Previous research extending over a few decades has established that multiplicatively large sets (in any of several interpretations) must have substantial additive structu...
With the growing interest in service-oriented architectures, achieving seamless interoperability between heterogeneous middleware technologies has become increasingly important. W...
Simon N. Foley, Barry P. Mulcahy, Thomas B. Quilli...
This paper is about non-approximate acceleration of high-dimensional nonparametric operations such as k nearest neighbor classifiers. We attempt to exploit the fact that even if w...