Many existing explanation methods in Bayesian networks, such as Maximum a Posteriori (MAP) assignment and Most Probable Explanation (MPE), generate complete assignments for target...
For the generation of freeform models, sketching interfaces have raised an increasing interest due to their intuitive approach. It is now possible to infer a 3D model directly fro...
Meta modeling is a wide-spread technique to define visual languages, with the UML being the most prominent one. Despite several advantages of meta modeling such as ease of use, the...
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
One of the major bottlenecks in conceptual engineering design is the pure amount of design information which the design engineer needs to take into consideration. Furthermore, the ...