In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Many inference methods of queueing systems have been developed on the basis of Larson's QIE(queue inference engine) with the assumption of homogeneous Poisson arrivals. It in...
The paper deals with the problem of reconstructing the tree-like topological structure of a network of linear dynamical systems. A distance function is defined in order to evaluat...
Structured P2P overlays supporting standard database functionalities are a popular choice for building large-scale distributed data management systems. In such systems, estimating...
Marcel Karnstedt, Kai-Uwe Sattler, Michael Ha&szli...