Learning a knowledge base of ontological concepts for high-level scene interpretation

@article{Hartz2007LearningAK,
  title={Learning a knowledge base of ontological concepts for high-level scene interpretation},
  author={Johannes Hartz and Bernd Neumann},
  journal={Sixth International Conference on Machine Learning and Applications (ICMLA 2007)},
  year={2007},
  pages={436-443}
}
Ontological concept descriptions of scene objects and aggregates play an essential role in model-based scene interpretation. An aggregate specifies a set of objects with certain properties and relations which together constitute a meaningful scene entity. In this paper we show how ontological concept descriptions for spatially related objects and aggregates can be learnt from positive and negative examples. Our approach features a rich representation language encompassing quantitative and… CONTINUE READING
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