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.. vim: set fileencoding=utf-8 :
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.. Sun Aug 21 21:38:15 CEST 2016
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   :target: https://www.idiap.ch/software/bob/docs/bob/bob.bio.gmm/master/index.html
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.. image:: http://img.shields.io/pypi/v/bob.bio.gmm.svg
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   :target: https://pypi.python.org/pypi/bob.bio.gmm
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============================================
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 Run Gaussian mixture model based algorithms
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============================================
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This package is part of the signal-processing and machine learning toolbox
Bob_.
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This package is part of the ``bob.bio`` packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.
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This package contains functionality to run biometric recognition algorithms based on Gaussian mixture models (GMMs).
It is an extension to the `bob.bio.base <http://pypi.python.org/pypi/bob.bio.base>`_ package, which provides the basic scripts.
In this package, utilities that are specific for using GMM-based algorithms are defined:
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* Recognition algorithms based on Gaussian mixture models
* Scripts to run the training of these algorithms in parallel
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Installation
------------

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Complete Bob's `installation`_ instructions. Then, to install this package,
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run::
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  $ conda install bob.bio.gmm
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Contact
-------

For questions or reporting issues to this software package, contact our
development `mailing list`_.

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.. Place your references here:
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.. _bob: https://www.idiap.ch/software/bob
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.. _installation: https://www.idiap.ch/software/bob/install
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.. _mailing list: https://www.idiap.ch/software/bob/discuss