Spoken language identification consists in recognizing a language based on a sample of speech from an unknown speaker. The traditional approach for this task mainly considers the p...
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
The study of sign languages attempts to create a coherent model that binds the expressive nature of signs conveyed in gestures to a linguistic framework. Gesture modelling offers a...
Term selection process is a very necessary component for most natural language processing tasks. Although different unsupervised techniques have been proposed, the best results ar...