We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
An increasing number of tasks require people to explore, navigate and search extremely complex data sets visualized as graphs. Examples include electrical and telecommunication ne...
Nelson Wong, M. Sheelagh T. Carpendale, Saul Green...
In this paper we propose a concept for transparent access to VRML state information. Our approach enhances VRML browsers to provide additional functionality instead of placing the...
"Free Flight" will change today's air traffic control system by giving pilots increased flexibility to choose and modify their routes in real time, reducing costs a...
Ronald Azuma, Howard Neely, Michael Daily, Mario C...
It is often difficult in computer graphics applications to understand spatial relationships betweenobjects in a 3D sceneor effect changes to those objects without specialized visu...
Kenneth P. Herndon, Robert C. Zeleznik, Daniel C. ...