StatLearn

Statistical Learning Matlab toolbox

Most of the machine learning techniques used in my PhD are availables in this toolbox. The main advantage of this toolbox is that is is fully object-oriented: it is designed to easily add new statistical methods with a very short code. In addition, many useful matlab functions are included. See the web page to download the latest version: Statlearn toolbox page

Vision

Computer Vision Matlab toolbox

This package provides many functions to handle interest point descriptors. Some high level functions such as clusterning, classifying and displaying descriptors are very useful. The SIFT keypoint descriptor proposed by David Lowe is also implemented. Gyorgy Dorko provided interest point detection and descriptor computation binaries. A full matlab interface is provided with this toolbox. Vision toolbox page

SimPFC

Bayesian estimation of failures in electricity production

This software was developped in a industrial context and is not available online. However, I think I can provide some matlab examples on request.