—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
The estimation error performance of Gaussian belief propagation based distributed estimation in a large sensor network employing random sleep strategies is explicitly evaluated fo...
The increasing popularity of high-volume performancecritical Internet applications calls for a scalable server design that allows meeting individual response-time guarantees. Cons...
DVFS remains an important energy management technique for embedded systems. However, its negative impact on transient fault rates has been recently shown. In this paper, we propos...
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...