⭐ 欢迎来到虫虫下载站！ | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站
📤 上传资源

📄 demo_pcacomp.html

📁 很好的matlab模式识别工具箱
💻 HTML
字号:
🔍 
<html><head>  <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1">  <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../stpr.css"></head><body><table  border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">DEMO_PCACOMP</b><td valign="baseline" align="right" class="function"><a href="../demos/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table>  <p><b>Demo on image compression using PCA</b></p>  <hr><div class='code'><code><span class=help></span><br><span class=help>&nbsp;<span class=help_field>Description:</span></span><br><span class=help>&nbsp;&nbsp;The&nbsp;PCA&nbsp;model&nbsp;is&nbsp;trained&nbsp;to&nbsp;model&nbsp;rectangular&nbsp;non-overlapping&nbsp;</span><br><span class=help>&nbsp;&nbsp;patches&nbsp;of&nbsp;a&nbsp;specified&nbsp;input&nbsp;image.&nbsp;The&nbsp;compression&nbsp;phase&nbsp;</span><br><span class=help>&nbsp;&nbsp;involves&nbsp;representation&nbsp;of&nbsp;the&nbsp;image&nbsp;patches&nbsp;in&nbsp;the&nbsp;lower&nbsp;</span><br><span class=help>&nbsp;&nbsp;dimesional&nbsp;space&nbsp;trained&nbsp;by&nbsp;the&nbsp;PCA.&nbsp;The&nbsp;decompression&nbsp;consists&nbsp;</span><br><span class=help>&nbsp;&nbsp;of&nbsp;reconstruction&nbsp;of&nbsp;the&nbsp;image&nbsp;patches&nbsp;from&nbsp;their&nbsp;low&nbsp;dimensional&nbsp;</span><br><span class=help>&nbsp;&nbsp;representation.</span><br><span class=help></span><br><span class=help>&nbsp;Note:&nbsp;This&nbsp;demo&nbsp;requires&nbsp;Images&nbsp;toolbox.</span><br><span class=help></span><br><span class=help>&nbsp;<span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also>&nbsp;&nbsp;<a href = "../linear/extraction/pca.html" target="mdsbody">PCA</a>,&nbsp;<a href = "../linear/linproj.html" target="mdsbody">LINPROJ</a>,&nbsp;<a href = "../linear/extraction/pcarec.html" target="mdsbody">PCAREC</a>.</span><br><span class=help></span><br></code></div>  <hr>  <b>Source:</b> <a href= "../demos/list/demo_pcacomp.html">demo_pcacomp.m</a>  <p><b class="info_field">About: </b>  Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a><br> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a><br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br>  <p><b class="info_field">Modifications: </b> <br> 06-jun-2004, VF<br></body></html>

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -