updated docs

docs/docs/algorithms.xml

@@ -82,6 +82,7 @@
          <item>uniform_random_hash</item> 
          <item>projection_hash</item> 
          <item>create_random_projection_hash</item> 
+         <item>create_max_margin_projection_hash</item> 
          <item>hash_samples</item> 
          <item>hash_similar_angles_64</item> 
          <item>hash_similar_angles_128</item> 
@@ -352,10 +353,32 @@
       <component>
          <name>create_random_projection_hash</name>
          <file>dlib/lsh.h</file>
-         <spec_file>dlib/lsh/create_random_projection_hash_abstract.h</spec_file>
+         <spec_file link="true">dlib/lsh/create_random_projection_hash_abstract.h</spec_file>
          <description>
             Creates a random projection based locality sensitive 
-            <a href="#projection_hash">hashing function</a>.
+            <a href="#projection_hash">hashing function</a>.  The projection matrix
+            is generated by sampling its elements from a Gaussian random number generator.
+         </description>
+         
+      </component>
+            
+   <!-- ************************************************************************* -->
+      
+      <component>
+         <name>create_max_margin_projection_hash</name>
+         <file>dlib/lsh.h</file>
+         <spec_file link="true">dlib/lsh/create_random_projection_hash_abstract.h</spec_file>
+         <description>
+            Creates a random projection based locality sensitive 
+            <a href="#projection_hash">hashing function</a>.  
+               This is accomplished using a variation on the random hyperplane generation
+               technique from the paper:
+               <blockquote>
+                    Random Maximum Margin Hashing by Alexis Joly and Olivier Buisson
+               </blockquote>
+                  In particular, we use a linear support vector machine to generate planes.
+                  We train it on randomly selected and randomly labeled points from 
+                  the data to be hashed.
          </description>
          
       </component>

docs/docs/term_index.xml

@@ -165,6 +165,7 @@
          <term file="algorithms.html" name="hash_similar_angles_512"       include="dlib/lsh.h"/>
          <term file="algorithms.html" name="projection_hash"               include="dlib/lsh.h"/>
          <term file="algorithms.html" name="create_random_projection_hash" include="dlib/lsh.h"/>
+         <term file="algorithms.html" name="create_max_margin_projection_hash" include="dlib/lsh.h"/>
          <term file="imaging.html" name="randomly_sample_image_features"   include="dlib/statistics.h"/>
          <term file="algorithms.html" name="disjoint_subsets"              include="dlib/disjoint_subsets.h"/>
          <term link="algorithms.html#disjoint_subsets" name="union-find"   include="dlib/disjoint_subsets.h"/>