The acquisition of geometric information from realworld objects has become a major way of modeling complex scenes and environments. Unfortunately, most optical methods for geometr...
Qualitative spatial variables are important in many fields of research. However, unlike the decades-worth of research devoted to the spatial association of quantitative variables, ...
Fast query processing of complex objects, e.g. spatial or uncertain objects, depends on efficient spatial pruning of the objects’ approximations, which are typically minimum bou...
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...