Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Common problem encountered in the analysis of dynamic scene is the problem of simultaneous estimation of the number of models and their parameters. This problem becomes difficult a...
The dynamics of knowledge is important for virtual organizations (VOs) knowledge management (KM) to improve the fast response capabilities and flexible problem solving capabilities...
Working with models often requires the ability to assert the compliance of a given model to a given set of constraints. Some tools are able to check OCL invariants on UML models. ...
Nowadays many data mining/analysis applications use the graph analysis techniques for decision making. Many of these techniques are based on the importance of relationships among t...
Rabia Nuray-Turan, Dmitri V. Kalashnikov, Sharad M...