Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
In the context of Model Driven Development, models play a central role. Since models can nowadays be executed, they are used not only for description but also for production [32][3...
This paper presents a new image-based modeling method that facilitates the recovery of accurate polyhedral models of architectural scenes. The method is particularly e ective becau...
Camillo J. Taylor, Paul E. Debevec, Jitendra Malik
: In the context of the MAPPER project, the paper presents an approach for model based methodology engineering with the mission of supporting the creation and utilisation of a holi...
Svein G. Johnsen, Rolf Kenneth Rolfsen, Hilda Tell...
This paper describes a lexical trigger model for statistical machine translation. We present various methods using triplets incorporating long-distance dependencies that can go be...
Sasa Hasan, Juri Ganitkevitch, Hermann Ney, Jes&ua...