Computer vision tasks often require the robust fit of a model to some data. In a robust fit, two major steps should be taken: i) robustly estimate the parameters of a model, and ii...
Network-on-Chip combined with Globally Asynchronous Locally Synchronous paradigm is a promising architecture for easy IP integration and utilization with multiple voltage levels. ...
Networks of Workstations (NOW) have become important and cost-effective parallel platforms for scientific computations. In practice, a NOW system is heterogeneous and non-dedicat...
In pervasive computing environments, applications find themselves in constantly changing operating conditions. Such applications often need to discover locally available resources ...
Although the main fault-tolerance techniques are known for a long time, there exists no consistent approach for implementing dependable applications in the sense that the fault-to...