Gaussian Mixture Model based Algorithms

This package is part of the packages, which provide open source tools to run comparable and reproducible biometric recognition experiments. In this package, algorithms for executing experiments based on Gaussian Mixture Models are provided, including scripts to run the training procedures of the Expectation-Maximization loops in parallel.

For more detailed information about the structure of the packages, please refer to the documentation of Particularly, the installation of this and other packages, please read the Installation Instructions.

In the following, we provide more detailed information about the particularities of this package only.



This documentation is still under development. Here is a list of things that needs to be done:

Indices and tables