updated release notes

docs/docs/release_notes.xml

@@ -12,43 +12,41 @@
 
 <current>
 New Features:
-   - Added scan_image_custom
-   - Added split_array()
-   - Added add_image_left_right_flips()
-   - Updated the interface to allow the user to set different loss values for
-     false alarming vs getting a correct detection.  This is for the
-     structural_sequence_segmentation_trainer
+   - Added routines for performing BFGS and L-BFGS optimization with box constraints.  
+     See the new find_min_box_constrained() and find_max_box_constrained() routines.
+   - Added vector_normalizer_frobmetric.  This is a tool for learning a
+     Mahalanobis distance metric.
+   - The user can now set different loss values for false alarming vs getting a
+     correct detection when using the structural_sequence_segmentation_trainer.
    - Added an overload of clamp() that lets you use matrix valued lower/upper bounds.
-   - Added a backtracking_line_search(), find_min_box_constrained() and find_max_box_constrained()
-   - Added vector_normalizer_frobmetric
-   - Added a function for computing Felzenszwalb's 31 channel HOG image
-     representation.  This is extract_fhog_features().
-
-Non-Backwards Compatible Changes:
-   - Refactored the image pyramid code. Now there is just one templated object,
-     pyramid_down and you give it the downsampling amount as a template
-     argument.  So you will have to update your code slightly.  Use the
-     following substitutions:
-      change pyramid_down to pyramid_down&lt;2&gt;
-      change pyramid_down_3_2 to pyramid_down&lt;3&gt;
-      change pyramid_down_4_3 to pyramid_down&lt;4&gt;
-      change pyramid_down_5_4 to pyramid_down&lt;5&gt;
-
-Bug fixes:
-
-Other:
-   - Moved python C++ utility headers into dlib/python and updated #include
-     statements to reflect this move.
-   - Made the structural SVM solver's cache slightly more efficient
-   - Made the PNG loader able to load in grayscale images with an alpha channel.
-   - Removed a bunch of checks that prevented users from using references to
-     functions with the optimization code and forced the use of function
-     pointers. This was to avoid triggering a bug in gcc 4.0. Since that
-     compiler is no longer officially supported by dlib I've removed these
-     checks to increase usability.
-   - Made resize_image() use bilinear interpolation by default and also added a
-     special version of it that is optimized for this case.
-
+   - New image processing tools:
+      - Added the scan_image_custom object, split_array(), and add_image_left_right_flips().
+      - Added extract_fhog_features(), this is a function for computing
+        Felzenszwalb's 31 channel HOG image representation.  
+
+Non-Backwards Compatible Changes:
+   - Refactored the image pyramid code. Now there is just one templated object called
+     pyramid_down and you give it the downsampling amount as a template argument.  To make
+     old code work with this change use the following substitutions:
+       change pyramid_down to pyramid_down&lt;2&gt;
+       change pyramid_down_3_2 to pyramid_down&lt;3&gt;
+       change pyramid_down_4_3 to pyramid_down&lt;4&gt;
+       change pyramid_down_5_4 to pyramid_down&lt;5&gt;
+
+Bug fixes:
+
+Other:
+   - Made the structural SVM solver slightly faster.
+   - Moved the python C++ utility headers from tools/python/src into dlib/python.
+   - The PNG loader is now able to load grayscale images with an alpha channel.
+   - Removed checks that prevented users from using references to functions with the
+     optimization code and forced the use of function pointers. This was to avoid
+     triggering a bug in gcc 4.0.  Since that compiler is no longer officially supported
+     by dlib I've removed these checks to increase usability.
+   - Made resize_image() use bilinear interpolation by default and also added a special
+     version of it that is optimized for this case.
+   - Dlib's cmake files will now automatically link to the Intel MKL on MS Windows
+     platforms if the MKL is installed.
 </current>
 
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