In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
— In [5], a version of Relative Map Filter (RMF) is proposed to solve the simultaneous localization and map building (SLAM) problem. In the RMF, the map states contain only quant...
Abstract. Grid architectures are execution environments that are known to be at the same time distributed, parallel, heterogeneous and dynamic. While current tools focus solutions ...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Abstract. There is an increasing consensus that existing mobility models, such as the well-known random walk or random waypoint models, are insufficient to represent real node mobi...
Vincent Borrel, Marcelo Dias de Amorim, Serge Fdid...