In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Middleware for parallel and distributed systems is designed to virtualize computation and communication resources so that a more and consistent view of those resources is presente...
— System software strongly relies on the availability of static as well as dynamic adaptation techniques. With AspectOriented Programming (AOP) it is now possible to adapt even p...
Grid computing provides a very rich environment for scientific calculations. In addition to the challenges it provides, it also offers new opportunities for optimization. In this ...
Bingchen Li, Kang Chen, Zhiteng Huang, H. L. Rajic...