Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
Abstract. This paper introduces a new method to determine appealing placements of textual annotations for complex-shaped geometric models. It employs dynamic potential fields, whi...
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
We present an unsupervised algorithm for aligning a pair of shapes in the presence of significant articulated motion and missing data, while assuming no knowledge of a template, u...
We propose a Newton-CG primal proximal point algorithm for solving large scale log-determinant optimization problems. Our algorithm employs the essential ideas of the proximal poi...