Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...
ABSTRACT -- SPEC-VALUE, a rigorous scenario-driven approach for the description and validation of complex system functionalities at the early stages of design, is presented. It is ...
There has been considerable debate as to the merits and the applicability of probabilistic or statistical reasoning to Semantic Web. Much of this debate seems to have centered on ...
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
We introduce in this paper two probabilistic reasoning models (PRM-1 and PRM-2) which combine the Principal Component Analysis (PCA) technique and the Bayes classifier and show th...