Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Tomographic reconstruction from positron emission tomography (PET) data is an ill-posed problem that requires regularization. An attractive approach is to impose an 1-regularizatio...
J. Verhaeghe, Dimitri Van De Ville, I. Khalidov, Y...
— Distributed sensor network protocols, such as routing, time synchronization or data aggregation protocols make use of collaborative techniques to minimize the consumption of sc...
For future generation Grids to be truly pervasive we need to allow for the integration of mobile devices, in order to leverage available resources and broaden the range of supplie...
The main objective of the Intelligent GRID Scheduling System (ISS) project is to provide a middleware infrastructure allowing a good positioning and scheduling of real life applic...
Ralf Gruber, Vincent Keller, Pierre Kuonen, Marie-...