Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
We propose a novel 1 2-norm inverse solver for estimating the sources of EEG/MEG signals. Based on the standard 1-norm inverse solver, the proposed sparse distributed inverse solve...
A variety of compilers, static analyses, and testing frameworks rely heavily on path frequency information. Uses for such information range from optimizing transformations to bug ...
The importance of communication, information sharing and interoperability in an emergency response scenario have risen recently based on the frequency of disasters throughout the ...
Pipelined wavefront computations are a ubiquitous class of parallel algorithm used for the solution of a num ber of scientific and engineering applications. This paper investig...
Gihan R. Mudalige, Simon D. Hammond, J. A. Smith, ...