We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
We present a new software technology for on-line performance analysis and visualization of complex parallel and distributed systems. Often heterogeneous, these systems need capabi...
Aleksandar M. Bakic, Matt W. Mutka, Diane T. Rover
Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, t...
Ian T. Foster, Joseph A. Insley, Gregor von Laszew...
In this paper, we will introduce a method of spatial presentation of georeferenced data in a three-dimensional space. Photographs, Quicktime VR's, videos, and computer graphi...
In this paper, we describe the tool Gem-Mex, supporting Montages, a visual formalism for the speci cation of imperative object oriented programming languages.
Matthias Anlauff, Philipp W. Kutter, Alfonso Piera...