Distributed shared memory systems have become popular as a means of utilizing clusters of computers for solving large applications. We have developed a high-performance DSM at Way...
Distributed shared memory (DSM) systems have become popular as a means of utilizing clusters of computers for solving large applications. We have developed a high-performance DSM,...
An important problem in computer vision is to determine how features extracted from images are connected to an existing model. In this paper, we focus on solving the registration ...
We present a new wideband spectral envelope estimation framework for the artificial bandwidth extension problem. The proposed framework builds temporal clusters of the joint sub-...
We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speak...