We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
: A framework for underwater navigation by combining raw information from different sensors into a single scene description is presented. It is shown that features extracted from s...
Somajyoti Majumder, Julio Rosenblatt, Steve Schedi...
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
We study highly expressive query languages such as datalog, fixpoint, and while-languages on probabilistic databases. We generalize these languages such that computation steps (e....