We develop a framework based on Bayesian model averaging to explain how animals cope with uncertainty about contingencies in classical conditioning experiments. Traditional accoun...
Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. ...
Abstract. Inspired by the motion of a solid surface under liquid pressure, this paper proposes a novel deformable surface model to segment blood vessels in medical images. In the p...
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
We propose a 3D computational model for projective relations which is used in an integrated image and speech understanding system. The image and speech understanding system is bei...
Constanze Vorwerg, Gudrun Socher, Thomas Fuhr, Ger...
— Analytical communication performance models play an important role in prediction of the execution time of parallel applications on multiprocessors. Apart from designing such a ...