Abstract. This paper proposes a statistical model of functional landmarks delimiting low level visual areas which are highly variable across individuals. Low level visual areas are...
Isabelle Corouge, Michel Dojat, Christian Barillot
This paper presents a technique for visualizing large spatial data sets in Web Mapping Systems (WMS). The technique creates a hierarchical clustering tree, which is subsequently u...
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
This paper describes a new approach to the integration and control of continuously operating visual processes. Visual processes are expressed as transformations which map signals ...
James L. Crowley, Jean Marc Bedrune, Morten Bekker...
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...