A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
Abstract. A progressive curve representation based on reverse subdivision is introduced. This consists of three main components. First, multi-resolution structures for some common ...
Faramarz F. Samavati, Mai Ali Nur, Richard M. Bart...
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
We present new parallel algorithms for 3D reconstruction of objects from 2D projections and their application for the determination of the structure of macromolecules from electro...
Robert E. Lynch, Dan C. Marinescu, Hong Lin, Timot...
Concept analysis transforms any relation between ‘lobjects” and “attributes” into a complete lattice. This concept lattice can be studied by algebraic means and offers rem...