Abstract. Service-oriented computing promotes the construction of applications by composing distributed services that are advertised in an open service market. In such an environme...
Domenico Bianculli, Radu Jurca, Walter Binder, Car...
In this paper, we propose a generalized clustering approach for static data flow subgraphs mapped onto individual processors in Multi-Processor System on Chips (MPSoCs). The goal ...
Joachim Falk, Joachim Keinert, Christian Haubelt, ...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Modern embedded CPU systems rely on a growing number of software features, but this growth increases the memory footprint and increases the need for efficient instruction and data...
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...