We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
This paper presents a study of the fine grain physiological responses of participants to an immersive virtual simulation of an urban environment. The analysis of differences in p...
Andrea Brogni, Vinoba Vinayagamoorthy, Anthony Ste...
In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering m...
Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Ma...
—This paper reports on the results of an experiment designed to study fine grain physiological responses of participants to an immersive virtual simulation of an urban environmen...
Andrea Brogni, Vinoba Vinayagamoorthy, Anthony Ste...