Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
:This series of papers is intended to evaluate astrocladistics in reconstructing phylogenies of galaxies. The objective of this second paper is to formalize the concept of galaxy f...
Didier Fraix-Burnet, Philippe Choler, Emmanuel J. ...
Documents formatted in eXtensible Markup Language (XML) are available in collections of various document types. In this paper, we present an approach for the summarisation of XML d...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
We present a method for representing solid objects with spatiallyvarying oriented textures by repeatedly pasting solid texture exemplars. The underlying concept is to extend the 2...
We propose new analytical formulations of bounded blending operations for the function-based constructive shape modeling. The blending set operations are defined using R-functions...
Galina Pasko, Alexander A. Pasko, Tosiyasu L. Kuni...