Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
This paper discusses how to squeeze volume rendering into as few bits per operation as possible while still retaining excellent image quality. For each of the typical volume rende...
Ingmar Bitter, Neophytos Neophytou, Klaus Mueller,...
Abstract. This paper presents an efficient parallel algorithm for volume rendering of large-scale datasets. Our algorithm focuses on an optimization technique, namely early ray te...
We describe an interactive narrative system that embodies Object Oriented Prompted Play (O2P2). This means that behaviours, attributes, and crucially stories are attached to object...
An important characteristic of distributed grids is that they allow geographically separated multicomputers to be tied together in a transparent virtual environment to solve large...