The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Much work has been done in the area of qualitative spatial reasoning over the past years, with application in various domains. However, existing models only capture particular asp...
A robotic chauffeur should reason about spatial information with a variety of scales, dimensions, and ontologies. Rich representations of both the quantitative and qualitative cha...
Patrick Beeson, Matt MacMahon, Joseph Modayil, Ani...
Spatial or temporal reasoning is an important task for many applications in Artificial Intelligence, such as space scheduling, navigation of robots, etc. Several qualitative appro...
Typical application fields of spatial and spatio-temporal representation formalisms and reasoning techniques include geographic information systems (GIS), mobile assistance system...