Minor documentation fix

modules/ml/doc/expectation_maximization.rst

@@ -182,14 +182,17 @@ Returns ``true`` if the Gaussian mixture model was trained.
 
 EM::read, EM::write
 -------------------
-See :ocv:function:`Algorithm::read` and :ocv:function:`Algorithm::write`.
+See :ocv:func:`Algorithm::read` and :ocv:func:`Algorithm::write`.
 
-EM::get
+EM::get, EM::set
--------
+----------------
-See :ocv:function:`Algorithm::get`. The following parameters are available for getting:
+See :ocv:func:`Algorithm::get` and :ocv:func:`Algorithm::set`. The following parameters are available:
 
 * ``"nclusters"``
 * ``"covMatType"``
-* ``"weights"``
+* ``"maxIters"``
-* ``"means"``
+* ``"epsilon"``
-* ``"covs"``
+* ``"weights"`` *(read-only)*
+* ``"means"`` *(read-only)*
+* ``"covs"`` *(read-only)*
+..

modules/video/doc/motion_analysis_and_object_tracking.rst

@@ -404,11 +404,11 @@ Updates the predicted state from the measurement.
 BackgroundSubtractor
 --------------------
 
-.. ocv:class:: BackgroundSubtractor
+.. ocv:class:: BackgroundSubtractor : public Algorithm
 
 Base class for background/foreground segmentation. ::
 
-    class BackgroundSubtractor
+    class BackgroundSubtractor : public Algorithm
     {
     public:
         virtual ~BackgroundSubtractor();