Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Sharing huge, massively distributed databases in P2P systems is inherently difficult. As the amount of stored data increases, data localization techniques become no longer suffi...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...
Abstract. In-network processing emerges as an approach to reduce energy consumption in Wireless Sensor Networks (WSN) by decreasing the overall transferred data volume. Parallel pr...
Abstract. This contribution presents algorithms, methods, and software for a Grid resource manager, responsible for resource brokering and scheduling in early production Grids. The...
Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disea...
Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuch...