—A common way to model multiclass classification problems is to design a set of binary classifiers and to combine them. Error-Correcting Output Codes (ECOC) represent a successfu...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
—People within and outside the information visualization community are motivated to create new tools to address their own unique problems of understanding data. However, the tec...
This paper addresses online learning of reference object distribution in the context of two hybrid tracking schemes that combine the mean shift with local point feature correspond...
In order to capture the increased complexity of products and production processes as well as market requirements, collaboration models representing organisational networks enable ...