We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a gramm...
In this paper, we propose a protocol synthesis method based on a partial order model (called event structures) for the class of context-free processes. First, we assign a unique n...
In this paper we present a general framework for the comparison of intervals when preference relations have to established. The use of intervals in order to take into account impr...
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...