Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
This paper summarises ongoing research and recent results on the development of flexible access control infrastructure for complex resource provisioning in Grid-based collaborativ...
Yuri Demchenko, Olle Mulmo, Leon Gommans, Cees de ...
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
Manyimportant physical phenomena,such as temperature distribution, air flow, and acoustic waves,are describedas continuous,distributed parameterfields. Analyzingandcontrolling the...