Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
We describe an approach for interactive collision detection and proximity computations on massive models composed of millions of geometric primitives. We address issues related to...
Andy Wilson, Eric Larsen, Dinesh Manocha, Ming C. ...
A new FFT architecture for real-time implementation of large FFTs is presented. The architecture supports both, highthroughput and variable-length processing capabilities. The imp...
In the present paper, we investigate the approximation of a function by a polynomial with floating-point coefficients; we are looking for the best approximation in the L2 sense....
This paper describes the client-server design, implementation and experimental results for a system that supports real-time visual interaction between a large number of users in a...