Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
One of the topics of paramount importance in the development of Cluster and Grid middleware is the impact of faults since their occurrence in Grid infrastructures and in large-sca...
William Hoarau, Pierre Lemarinier, Thomas Hé...
This work presents the development of algorithms for approximate string matching using parallel methods. It intends to do the maximum of molecular sequences comparisons per unity ...
This paper presents DisAC-9, the ļ¬rst optimal distributed algorithm performing the arc-consistency of a constraint network. Our method is optimal according to the number of messa...
This paper introduces a new model, based on so-called object-composition filters, that uniformly integrates database-like features into an object-oriented language. The focus is o...