Abstract— We consider communication over the Gaussian multiple access channel (MAC) with unknown set of active users. The proposed multiple access strategy is distributed and ach...
Urs Niesen, Uri Erez, Devavrat Shah, Gregory W. Wo...
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
We present an integrated pixel segmentation and region tracking algorithm, designed for indoor environments. Visual monitoring systems often use frame differencing techniques to i...
Large latencies over WAN will remain an obstacle to running communication intensive parallel applications on Grid environments. This paper takes one of such applications, Gaussian...
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...