[vlfeat] 24/44: doc: adds 0.9.20 notes

[Dima Kogan]

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commit 738db5e84395704bd8d992fb8a2bf373403ad7b9
Author: Andrea Vedaldi <vedaldi at gmail.com>
Date:   Wed Jan 14 16:46:26 2015 +0000

    doc: adds 0.9.20 notes
---
 README.md         |  1 +
 docsrc/index.html | 16 ++++++++++------
 2 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index c0f3705..99999a5 100644
--- a/README.md
+++ b/README.md
@@ -56,6 +56,7 @@ ship with pre-built GNU Octave MEX files. To compile them use
 
 # Changes
 
+- **0.9.20** Maintenance release. Bugfixes.
 - **0.9.19** Maintenance release. Minor bugfixes and fixes compilation
   with MATLAB 2014a.
 - **0.9.18** Several bugfixes. Improved documentation, particularly of
diff --git a/docsrc/index.html b/docsrc/index.html
index 373c613..052b9cf 100644
--- a/docsrc/index.html
+++ b/docsrc/index.html
@@ -1,4 +1,5 @@
-<!DOCTYPE group PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<!DOCTYPE group PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
+          "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
 <group>
   <pagestyle>
    #content p.widePar {
@@ -31,10 +32,10 @@
 
   <p>The <b>VLFeat</b> <a href="%pathto:license;">open source</a>
   library implements popular computer vision algorithms specializing
-  in image understanding and local featurexs extraction and
-  matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER,
+  in image understanding and local features extraction and
+  matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER,
   k-means, hierarchical k-means, agglomerative information bottleneck,
-  SLIC superpixes, quick shift superpixels, large scale SVM training,
+  SLIC superpixels, quick shift superpixels, large scale SVM training,
   and many others. It is written in C for efficiency and
   compatibility, with interfaces in MATLAB for ease of use, and
   detailed documentation throughout. It supports Windows, Mac OS X,
@@ -128,6 +129,9 @@
  <div class="clear">&nsbp;</div>
  <dl id="changes">
 
+   <dt><span class="date">14/1/2015</span> VLFeat 0.9.20 released</dt>
+   <dd>Maintenance release. Bugfixes.</dd>
+
    <dt><span class="date">12/9/1014</span>
    <span class="standout">MatConvNet</span></dt>
    <dd>Looking for an easy-to-use package to work with deep
@@ -173,9 +177,9 @@
    <dd>Added VL_COVDET() (covariant feature detector). This function
    implements the following detectors: DoG, Hessian, Harris Laplace,
    Hessian Laplace, Multiscale Hessian, Multiscale Harris. It also
-   implements affine adaptation, estiamtion of feature orientation,
+   implements affine adaptation, estimation of feature orientation,
    computation of descriptors on the affine patches (including raw
-   patches), and sourcing of custom feature frame. Addet the auxiliary
+   patches), and sourcing of custom feature frame. Added the auxiliary
    function VL_PLOTSS(). This is the second point update supported by
    the <a shape="rect" href="roadmap.html"><b>PASCAL Harvest
    programme</b></a>.

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