Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy. We present a ...
Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jo...
One of the most important issue in soft tissue modeling is to assess the quality of the simulations. A validation protocol is presented based on two CT scans of the patient acquire...
Matthieu Chabanas, Christophe Marecaux, Franz Chou...
Abstract Multiresolution models support the interactive visualization of large volumetric data through selective refinement, an operation which permits to focus resolution only on...
Emanuele Danovaro, Leila De Floriani, Paola Magill...
Multi-agent models of language evolution usually involve agents giving names to internal independently constructed categories. We present an approach in which the creation of cate...