In this paper we argue that it is possible to couple the advantages of programming with the well-known abstraction of RPC with asynchronous programming models adequate for wide-ar...
Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
Event-based systems are developed and used as a coordination model to integrate components in loosely coupled systems. Research and product development focused so far on efficienc...
Recent research on performance analysis for embedded systems shows a trend to formal compositional models and methods. These compositional methods can be used to determine the per...
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...