Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
We present the application of the Planning by Rewriting PbR framework to query planning in distributed and heterogeneous environments. PbR is a new paradigm for e cient high-quali...
A real-time inverse dithering system for video display can be implemented very efficiently if operations are needed on only the current scan line. To optimize overall display qual...
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...