—We propose a general synchronous model of lattice random fields which could be used similarly to Gibbs distributions in a Bayesian framework for image analysis, leading to algor...
—The paper presents a new transform, called Vector– Gradient Hough Transform, for identifying elongated shapes in grayscale images. This goal is achieved not only by collecting...
—Because of image sampling, traditional measures of pixel dissimilarity can assign a large value to two corresponding pixels in a stereo pair, even in the absence of noise and ot...
—We address the problem of determining what size test set guarantees statistically significant results in a character recognition task, as a function of the expected error rate. ...
Isabelle Guyon, John Makhoul, Richard M. Schwartz,...
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...