A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
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...
We propose to use energy minimization in MRFs for matching-based image recognition tasks. To this end, the Tree-Reweighted Message Passing algorithm is modified by geometric cons...
In order for collective communication routines to achieve high performance on different platforms, they must be able to adapt to the system architecture and use different algori...