We present MediaBroker, a distributed framework designed to support pervasive computing applications. Specifically, we propose an architecture consisting of a transport engine and...
Martin Modahl, Ilya Bagrak, Matthew Wolenetz, Phil...
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
— To meet fast changing demands on modern software architectures the ambition to shorten and improve software development processes has increased. The approach of model-driven so...
Stefan Link, Thomas Schuster, Philip Hoyer, Sebast...