The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
In this paper, a novel general purpose clustering algorithm is presented, based on the watershed algorithm. The proposed approach defines a density function on a suitable lattice,...
Manuele Bicego, Marco Cristani, Andrea Fusiello, V...
In this paper we introduce concepts of a potential fault latency and a real fault latency for Finite State Machines (FSMs). The potential latency defines a minimal value of the po...
— This paper presents an architecture and algorithms for optimizing the performance of web services. For a given service, session-based admission control is combined with stage-w...