We study how several collective operations like broadcast, reduction, scan, etc. can be composed efficiently in complex parallel programs. Our specific contributions are: (1) a fo...
Sergei Gorlatch, Christoph Wedler, Christian Lenga...
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...
The FermaT transformation system, based on research carried out over the last sixteen years at Durham University, De Montfort University and Software Migrations Ltd., is an indust...
The main aim of this paper is to raise awareness of higherorder knowledge (knowledge about someone else's knowledge) as an issue for computer game AI. We argue that a number ...
Andreas Witzel, Jonathan A. Zvesper, Ethan Kennerl...
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...