Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
There are many key problems of decision making related to spectrum occupancies in cognitive radio networks. It is known that there exist correlations of spectrum occupancies in tim...
Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of late...
Archana Venkataraman, Yogesh Rathi, Marek Kubicki,...
A comprehensive probabilistic methodology is proposed to solve the buffer insertion problem with the consideration of process variations. In contrast to a recent work, we point o...
Abstract. Why an iconic gesture takes its particular form is a largely open question, given the variations one finds across both situations and speakers. We present results of an e...