Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Independent Component Analysis (ICA) is a frequently used preprocessing step in source localization of MEG and EEG data. By decomposing the measured data into maximally independent...
Peter Breun, Moritz Grosse-Wentrup, Wolfgang Utsch...
This paper presents a practical system for vision-based traffic scene analysis from a moving vehicle based on a cognitive feedback loop which integrates real-time geometry estimati...
Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J...