A main idea underlying bounded model checking is to limit the length of the potential counter-examples, and then prove properties for the bounded version of the problem. In softwar...
This paper explores the mathematical and algorithmic properties of two sample-based microtexture models: random phase noise (RPN ) and asymptotic discrete spot noise (ADSN ). Thes...
This paper explores how shape, motion, and lighting interact in the case of a two-frame motion sequence. We consider a rigid object with Lambertian reflectance properties undergoi...
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
— We present heuristic algorithms for pruning large sets of candidate paths or trajectories down to smaller subsets that maintain desirable characteristics in terms of overall re...
Michael S. Branicky, Ross A. Knepper, James J. Kuf...