Recently, there have been several advances in the machine learning and pattern recognition communities for developing manifold learning algorithms to construct nonlinear low-dimen...
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
The signed distance field of a surface can effectively support many geometry processing tasks such as decimation, smoothing, and Boolean operations since it provides efficient a...
System for automated control and tuning of TVset raster has been developed. The artificial intelligence elements such as multilayer perceptron, RBF and Cohonen networks effectivel...
Rauf Kh. Sadykhov, Alexey N. Klimovich, Oleg G. Ma...
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...