From 25cf7b413ef911a323f565efe67d56320d5cf672 Mon Sep 17 00:00:00 2001 From: Amir MOHAMMADI <amir.mohammadi@idiap.ch> Date: Fri, 9 Feb 2018 15:40:38 +0100 Subject: [PATCH] Fix sphinx warnings --- doc/index.rst | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/doc/index.rst b/doc/index.rst index 2d305108..d4141fc6 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -32,8 +32,7 @@ Here is a growing list of derived packages: * :ref:`bob.bio.spear <bob.bio.spear>` Tools to run speaker recognition experiments, including voice activity detection, Cepstral feature extraction, and speaker databases * :ref:`bob.bio.face <bob.bio.face>` Tools to run face recognition experiments, such as face detection, facial feature extraction and comparison, and face image databases * :ref:`bob.bio.video <bob.bio.video>` An extension of face recognition algorithms to run on video data, and the according video databases -* :ref:`bob.bio.gmm <bob.bio.gmm>` Algorithms based on Gaussian Mixture Modeling (GMM) such as Inter-Session Variability modeling (ISV) or Total Variability modeling (TV, aka. I-Vector) -* `bob.bio.csu <http://pypi.python.org/pypi/bob.bio.csu>`__ for wrapper classes of the `CSU Face Recognition Resources <http://www.cs.colostate.edu/facerec>`__ (see `Installation Instructions <http://pythonhosted.org/bob.bio.csu/installation.html>`__ of ``bob.bio.csu``). +* :ref:`bob.bio.gmm <bob.bio.gmm>` Algorithms based on Gaussian Mixture Modeling (GMM) such as Inter-Session Variability modeling (ISV) or Total Variability modeling (TV, aka. I-Vector) [Pri07]_ and [ESM+13]_. If you run biometric recognition experiments using the bob.bio framework, please cite at least one of the following in your scientific publication: -- GitLab