We present a stereo algorithm that achieves high quality results while maintaining real-time performance. The key idea is simple: we introduce an adaptive aggregation step in a dy...
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
While early research on real-time computing was concerned with guaranteeing avoidance of undesirable effects such as overload and deadline misses, adaptive real-time systems are d...
Chenyang Lu, John A. Stankovic, Tarek F. Abdelzahe...
The autonomic workflow engine enables workflow to be dynamically specified and adapted using Event-Condition-Action rules. A new approach to autonomic execution of workflow process...