A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
This paper describes instructional tools, LLparse and LRparse, for visualizing and interacting with small examples of LL and LR parsing. These tools can be used to understand the ...
Stephen A. Blythe, Michael C. James, Susan H. Rodg...
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimens...
In multiagent systems ontologies are essential because they facilitate tasks like communications and reasoning. In this paper, inspired by studies in cognitive psychology, we pres...
Model-checking has turned out to be an efficient and relatively easy-to-use technique in the verification of formally described programs. However, there is one major drawback in u...