Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
The purpose of this article is to define optic flow for scalar and density images without using a priori knowledge other than its defining conservation principle, and to incorpo...
Abstract. This paper describes the setup of the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition was to evaluate and compare automatic technique...
Antoine Doucet, Gabriella Kazai, Bodin Dresevic, A...
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
We present a combination of techniques for interactive out-of-core visualisation of isosurfaces from large timedependent data sets. We make use of an index tree, computed in a pre...