Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Particle systems have long been recognized as an essential building block for detail-rich and lively visual environments. Current implementations can handle up to 10,000 particles...
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
This paper describes how we have extended a module structure of the Smalltalk LearningWorks to provide a programming environment deigned for very large scale technology transfer. ...
Mark Woodman, Robert Griffiths, Malcolm Macgregor,...
In June and July 1997, Nomad, a planetary-relevant mobile robot, traversed more than 220 kilometers across the barren Atacama Desert in Chile, exploring a landscape analogous to t...
Deepak Bapna, Eric Rollins, John Murphy, Mark W. M...