Added to the tutorials the "Support Vector Machines for Non-Linearly Separable Data" contributed by Fernando Iglesias García. Corrected a mistake in the gpu-basics-similarity.rst file.

doc/conf.py

@@ -355,6 +355,7 @@ extlinks = {'cvt_color': ('http://opencv.willowgarage.com/documentation/cpp/imgp
             'utilitysystemfunctions':('http://opencv.itseez.com/modules/core/doc/utility_and_system_functions_and_macros.html#%s', None),
             'imgprocfilter':('http://opencv.itseez.com/modules/imgproc/doc/filtering.html#%s', None),
             'svms':('http://opencv.itseez.com/modules/ml/doc/support_vector_machines.html#%s', None),
+			'drawingfunc':('http://opencv.itseez.com/modules/core/doc/drawing_functions.html#%s', None),
             'xmlymlpers':('http://opencv.itseez.com/modules/core/doc/xml_yaml_persistence.html#%s', None),
 			'huivideo' : ('http://opencv.itseez.com/modules/highgui/doc/reading_and_writing_images_and_video.html#%s', None),
 			'gpuinit' : ('http://opencv.itseez.com/modules/gpu/doc/initalization_and_information.html#%s', None),

doc/tutorials/ml/table_of_content_ml/table_of_content_ml.rst

@@ -26,6 +26,25 @@ Use the powerfull machine learning classes for statistical classification, regre
      :height: 90pt
      :width:  90pt
 
++ 
+  .. tabularcolumns:: m{100pt} m{300pt}
+  .. cssclass:: toctableopencv
+
+  ============ ==============================================
+  |NonLinSVM|  **Title:** :ref:`nonLinearSvmS`
+
+               *Compatibility:* > OpenCV 2.0
+
+               *Author:* |Author_FernandoI|
+
+               Here you will learn how to define the optimization problem for SVMs when it is not possible to separate linearly the training data.
+
+  ============ ==============================================
+
+  .. |NonLinSVM| image:: images/non_linear_svms.png
+     :height: 90pt
+     :width:  90pt
+
 .. raw:: latex
 
    \pagebreak
@@ -34,3 +53,4 @@ Use the powerfull machine learning classes for statistical classification, regre
    :hidden:
    
    ../introduction_to_svm/introduction_to_svm
+   ../non_linear_svms/non_linear_svms