In this paper, we consider the problem of energy balanced data propagation in wireless sensor networks and we generalise previous works by allowing realistic energy assignment. A n...
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Animation is frequently utilized to visually depict change in timevarying data sets. For this task, it is a natural fit. Yet explicit animation is rarely employed for static data....
James Shearer, Michael Ogawa, Kwan-Liu Ma, Toby Ko...