Merge branch 'results_into_readme' into 'master'

Added table of results and link to the Idiap publication server into README

See merge request !5

README.rst

 Source code package for Bob's ICML'17 paper
 ===========================================
 
-This package contains the source code associated with our submission to the
+This package contains the source code associated with our contribution to the
 `Reproducibility in Machine Learning Research Workshop`_, at the `International
-Conference on Machine Learning (2017)`_.
+Conference on Machine Learning (2017)`_. A copy of the final paper_ can be
+obtained from our publication server.
 
 
 Installation
@@ -95,10 +96,9 @@ To run the experiment, please go to the command line and run::
     $ verify_isv.py config_isv.py
 
 By default, the script will use 32 parallel processes to run the experiment.
-you have less processes to spare, please reduce the number of parallel threads.
-processes.
-Anyways, please expect a runtime of several hours, especially for training the
-ISV model.
+If you have less processes to spare, please reduce the number of parallel
+processes. Anyways, please expect a runtime of several hours, especially for
+training the ISV model.
 
 
 Evaluation
@@ -119,6 +119,19 @@ call::
         --criterion EER \
         -vv
 
+The results of this command line should be the plot of Figure 3(a) that you can
+find in the paper_, and the following table (cf. Figure 3(b) of the paper_):
+
+.. table:: Results of the Experiments
+
+   +-----------+--------+--------+
+   | Algorithm |   EER  |  HTER  |
+   +===========+========+========+
+   |  **VGG**  | 6.548% | 5.136% |
+   +-----------+--------+--------+
+   |  **ISV**  | 3.294% | 7.256% |
+   +-----------+--------+--------+
+
 
 .. _bob: http://www.idiap.ch/software/bob
 .. _conda: https://conda.io
@@ -128,3 +141,4 @@ call::
 .. _vgg face: http://www.robots.ox.ac.uk/~vgg/software/vgg_face
 .. _reproducibility in machine learning research workshop: https://sites.google.com/view/icml-reproducibility-workshop/home
 .. _International Conference on Machine Learning (2017): https://2017.icml.cc
+.. _paper: http://publications.idiap.ch/index.php/publications/show/3666