In this case study, a data-oriented approach is used to visualize a complex digital signal processing pipeline. The pipeline implements a Frequency Modulated (FM) Software-Defined...
Matthew Hall, Alex Betts, Donna Cox, David Pointer...
On-demand media stream processing service provisioning on top of a service overlay network (SON) has emerged as a promising approach to providing quality-aware and failure-resilie...
A common requirement of many scientific applications is the ability to process queries involving expensive predicates corresponding to user programs. Optimizing such queries is ha...
Fabio Porto, Eduardo Sany Laber, Patrick Valduriez
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...