Cluster computing has emerged as a new paradigm for solving large-scale problems. To enhance QoS and provide performance guarantees in cluster computing environments, various real...
Xuan Lin, Ying Lu, Jitender S. Deogun, Steve Godda...
We address in this paper the problem of scheduling for multiprocessor real-time systems with hard and soft tasks. Utility functions are associated to soft tasks to capture their r...
Abstract. One focus of recent research in the field of biologically plausible neural networks is the investigation of higher-level functions such as learning, development and modu...
Matthias Oster, Adrian M. Whatley, Shih-Chii Liu, ...
A constraint satisfaction problem (CSP) model can be preprocessed to ensure that any choices made will lead to solutions, without the need to backtrack. This can be especially usef...
J. Christopher Beck, Tom Carchrae, Eugene C. Freud...
We present a new approach to integrated motion estimation and segmentation by combining methods from discrete and continuous optimization. The velocity of each of a set of regions ...