Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
We report on the development of a new computational framework for efficiently carrying out parallel data redistribution in a limited memory environment. This new library, MADRE (T...
In this paper we develop an interactive 3D browser for large topographic maps using a visual display augmented by a haptic, or force feedback, display. The extreme size of our dat...
Instruction and data address traces are widely used by computer designers for quantitative evaluations of new architectures and workload characterization, as well as by software de...
Milena Milenkovic, Aleksandar Milenkovic, Martin B...
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...