The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Abstract. The visualization of geographic information requires large displays. Even large screens can be insufficient to visualize e.g. a long route in a scale, such that all decis...
—In multitarget tracking, the main challenge is to maintain the correct identity of targets even under occlusions or when differences between the targets are small. The paper pro...
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
In many types of activities, communicative and material activities are so intertwined that the one cannot be understood without taking the other into account. This is true of mari...
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
A local spatial context is an area currently under consideration in a spatial reasoning process. The boundary between this area and the surrounding space together with the spatial...
Schema versioning provides a mechanism for handling change in the structure of database systems and has been investigated widely, both in the context of static and temporal databa...
John F. Roddick, Fabio Grandi, Federica Mandreoli,...
Does our preoccupation with navigable space distract us from the expressive potential of interactive media? Can our understanding of spatial context in virtual environments (VEs) ...
Landmarks play crucial roles in human geographic knowledge. There has been much work focusing on the extraction of landmarks from geographic information systems (GIS) or 3D city mo...