A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor ne...
Biobanks are well-organized resources comprising biological samples and associated information that are accessible to scientific investigation. Across Europe, millions of samples ...
Martin Yuille, Gert-Jan B. van Ommen, Christian Br...
Proximity queries such as closest point computation and collision detection have many applications in computer graphics, including computer animation, physics-based modeling, augm...