Management in pervasive systems cannot rely on human intervention or centralised decision-making functions. It must be devolved, based on local decision-making and feedback contro...
Alberto E. Schaeffer Filho, Emil C. Lupu, Naranker...
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...
Time-critical multi-processor systems require guaranteed services in terms of throughput, bandwidth etc. in order to comply to hard real-time constraints. However, guaranteedservi...
Mohammad Abdullah Al Faruque, Gereon Weiss, Jö...
The increasing complexity of embedded systems pushes system designers to higher levels of abstraction. Transaction Level Modeling (TLM) has been proposed to model ation in systems...
This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. Th...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Z...