updated docs

docs/docs/linear_algebra.xml

@@ -189,6 +189,10 @@
                   <name>svd3</name>
                   <link>dlib/matrix/matrix_la_abstract.h.html#svd3</link>
                </item>
+               <item>
+                  <name>svd_fast</name>
+                  <link>dlib/matrix/matrix_la_abstract.h.html#svd_fast</link>
+               </item>
                <item>
                   <name>det</name>
                   <link>dlib/matrix/matrix_la_abstract.h.html#det</link>

docs/docs/ml.xml

@@ -137,6 +137,7 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
          <item>vector_normalizer</item> 
          <item>vector_normalizer_pca</item> 
          <item>sammon_projection</item> 
+         <item>cca</item> 
       </section>
       <section>
          <name>Semi-Supervised</name>
@@ -609,6 +610,20 @@ Davis E. King. <a href="http://jmlr.csail.mit.edu/papers/volume10/king09a/king09
 
       </component>
       
+   <!-- ************************************************************************* -->
+
+      <component>
+         <name>cca</name>
+         <file>dlib/statistics.h</file>
+         <spec_file link="true">dlib/statistics/cca_abstract.h</spec_file>
+         <description>
+              This function performs a canonical correlation analysis between two sets
+              of vectors.  Additionally, it is designed to be very fast, even for large
+              datasets of over a million high dimensional vectors.
+         </description>
+
+      </component>
+      
    <!-- ************************************************************************* -->
 
       <component>

docs/docs/term_index.xml

@@ -332,6 +332,7 @@
          <term file="ml.html" name="vector_normalizer_pca"/>
          <term file="ml.html" name="discriminant_pca"/>
          <term file="ml.html" name="sammon_projection"/>
+         <term file="ml.html" name="cca"/>
          <term file="dlib/statistics/dpca_abstract.h.html" name="discriminant_pca_error"/>
          <term file="ml.html" name="kkmeans"/>
          <term file="ml.html" name="find_clusters_using_kmeans"/>
@@ -488,6 +489,7 @@
          <term link="dlib/matrix/matrix_la_abstract.h.html#svd" name="singular value decomposition"/>
          <term file="dlib/matrix/matrix_la_abstract.h.html" name="svd2"/>
          <term file="dlib/matrix/matrix_la_abstract.h.html" name="svd3"/>
+         <term file="dlib/matrix/matrix_la_abstract.h.html" name="svd_fast"/>
          <term file="dlib/matrix/matrix_la_abstract.h.html" name="det"/>
          <term file="dlib/matrix/matrix_la_abstract.h.html" name="trace"/>
          <term file="dlib/matrix/matrix_la_abstract.h.html" name="chol"/>