This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
Abstract—We study the challenging problem of strategic content placement in a dynamic MANET. Existing content placement techniques cannot cope with such network dynamics since th...
Suk-Bok Lee, Starsky H. Y. Wong, Kang-Won Lee, Son...
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
—As process technology shrinks devices, circuits experience accelerated wearout. Monitoring wearout will be critical for improving the efficiency of error detection and correctio...
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...