<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to EkNN</title><link>https://sourceforge.net/p/eknn/wiki/EkNN/</link><description>Recent changes to EkNN</description><atom:link href="https://sourceforge.net/p/eknn/wiki/EkNN/feed" rel="self"/><language>en</language><lastBuildDate>Fri, 04 Oct 2013 06:50:07 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/eknn/wiki/EkNN/feed" rel="self" type="application/rss+xml"/><item><title>EkNN modified by mandelbrotlee</title><link>https://sourceforge.net/p/eknn/wiki/EkNN/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">mandelbrotlee</dc:creator><pubDate>Fri, 04 Oct 2013 06:50:07 -0000</pubDate><guid>https://sourceforge.net4954a12d9588265b155b787f8479ec8a557dfc55</guid></item><item><title>Discussion for EkNN page</title><link>https://sourceforge.net/p/eknn/wiki/EkNN/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;EkNN is an new Extracting k-Nearest Neighbors Searching Algorithm for Point Cloud. It extracts neighbors from the preview query point first, and then searchs if the number of extracted points less than k.&lt;br /&gt;
It can integrates with any other fast searching algorithms. We integrate it with spatial partition alforithm and orthogonal search tree algorithm&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">mandelbrotlee</dc:creator><pubDate>Fri, 04 Oct 2013 06:45:49 -0000</pubDate><guid>https://sourceforge.netbd82fa454246974fb445b90c74d6e802267f8ac3</guid></item><item><title>EkNN modified by mandelbrotlee</title><link>https://sourceforge.net/p/eknn/wiki/EkNN/</link><description>&lt;div class="markdown_content"&gt;&lt;p&gt;An New Extracting k-Nearest Neighbors Searching Algorithm&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">mandelbrotlee</dc:creator><pubDate>Fri, 04 Oct 2013 06:36:59 -0000</pubDate><guid>https://sourceforge.net2d452f42b905f2aa165dde520ff7c6b66d16cd3c</guid></item></channel></rss>