We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Given two strings, a pattern P of length m and a text T of length n over some alphabet , we consider the string matching problem under k mismatches. The well
The problem considered in this paper is that of estimating the projective transformation between two images in situations where the image motion is large and featurematching is no...
As part of the European PROLIX (Process Oriented Learning and Information eXchange) project, VUB STARLab designed a generic ontologybased data matching framework (ODMF). Within the...