Today’s global markets demand global processes. Increasingly, these processes are not only distributed, but also contain mobile aspects. We discuss two challenges brought about b...
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
Based on the Lagrangian framework for fluid dynamics, a streakline
representation of flow is presented to solve computer vision
problems involving crowd and traffic flow. Streakl...
Tuning applications for multi-core systems involve subtle concepts and target-dependent optimizations. New languages are being designed to express concurrency and locality without...
Cupertino Miranda, Philippe Dumont, Albert Cohen, ...
Cardinality estimation is the problem of estimating the number of tuples returned by a query; it is a fundamentally important task in data management, used in query optimization, ...