The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
Industrial inspection robots, which are to move around a nuclear power plant and carry out inspection tasks, must follow a given route while observing static and dynamic features ...
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pointer analysis, a classic problem in software program analysis, has emerged as an important problem to solve in design automation, at a time when complex designs, specified in t...
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...