We consider the operator mapping problem for in-network stream processing, i.e., the application of a tree of operators in steady-state to multiple data objects that are continuou...
Anne Benoit, Henri Casanova, Veronika Rehn-Sonigo,...
— This article compares several parameterizations and motion models for improving the estimation of the nonlinear uncertainty distribution produced by robot motion. In previous w...
The rapid proliferation of Internet and related technologies has created tremendous possibilities for the interoperability between domains in distributed environments. Interoperab...
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Resource performance in the Computational Grid is not only heterogeneous, but also changing dynamically. However scheduling algorithms designed for traditional parallel and distri...