—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
—We give a denotational framework (a “meta model”) within which certain properties of models of computation can be compared. It describes concurrent processes in general term...
In this paper, we present a Grid computing platform that provides experimental scientists and analysts with access to computational simulations and knowledge databases hosted in s...
Xingchen Chu, Andrew Lonie, Peter Harris, S. Randa...
Over the past decade the number of processors in the high performance facilities went up to hundreds of thousands. As a direct consequence, while the computational power follow th...
Aurelien Bouteiller, George Bosilca, Jack Dongarra