updated release notes

docs/docs/release_notes.xml

@@ -12,12 +12,52 @@
 
 <current>
 New Stuff:
- 
-Non-Backwards Compatible Changes:
-
-Bug fixes:
-
-Other:
+   - Image Processing:
+      - Added the option to make the features generated by the poly_image
+        rotationally invariant. 
+      - Added a set of routines for warping, scaling, and resizing images.
+        See the new "Scaling and Rotating" section of the image processing
+        documentation for details.
+      - Added the heatmap() routine for converting an image into a heatmap.
+   - Machine Learning
+      - Updated the sequence labeling trainer to allow the user to set different 
+        loss values for different labels.
+      - Added the rls object.  It is an implementation of the linear recursive 
+        least squares algorithm.
+   - Added the get_option() routines which slightly simplify option parsing 
+     from the command line and config files.
+   - Added the 128bit version of Murmur hash.
+   - Added the rls_filter and kalman_filter objects.  These are tools for 
+     performing Kalman filtering and recursive least squares filtering.
+   - Added the circular_buffer object. 
+
+Non-Backwards Compatible Changes:
+   - The poly_image generates slightly different features in this new release.
+     Therefore, classifiers trained using the previous version will need to be
+     retrained if they are switched to the new version of poly_image.
+   - Changed the xcorr() functions so they take the complex conjugate of the right
+     hand arguments if they are complex numbers.  This way they do a proper
+     cross-correlation and also mirror the behavior of MATLAB.  However, this
+     breaks backwards compatibility with the previous behavior of xcorr().
+   - Previously, dlib included two versions of dlib::array.  However, to
+     simplify the user interface, dlib now includes only the contiguous
+     memory implementation of dlib::array.  This change should only affect
+     you if you wrote code which assumed dlib::array::set_max_size() only
+     allocated a small amount of RAM.  The new behavior is similar to the
+     std::vector::reserve() routine.  That is, dlib::array::set_max_size()
+     will allocate the requested amount of memory immediately.
+
+Bug fixes:
+   - Fixed a bug which caused certain matrix expressions to not compile
+     when the BLAS bindings were enabled.  In particular, expressions which
+     involved a 1x1 matrix sometimes didn't compile.
+
+Other:
+   - Made the matrix routines min(), max(), sum() and mean() work with 
+     complex numbers. 
+   - Turned the array object into a single implementation object.  Now arrays 
+     can be created using the normal array&lt;type&gt; obj; syntax.  Additionally, 
+     all extensions were merged into the array object. 
 
 </current>