rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
The presence of encyclopedic Web sources, such as Wikipedia, the Internet Movie Database (IMDB), World Factbook, etc. calls for new querying techniques that are simple and yet mor...
Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifr...
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...