⭐ 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

📄 make_noisy_data.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">MAKE_NOISY_DATA</b><td valign="baseline" align="right" class="function"><a href="../../demos/image_denoising/index.html" target="mdsdir"><img border = 0 src="../../up.gif"></a></table>  <p><b>Adds Gaussian noise to USPS database.</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;It&nbsp;adds&nbsp;Gaussian&nbsp;noise&nbsp;to&nbsp;the&nbsp;USPS&nbsp;images.&nbsp;The&nbsp;input</span><br><span class=help>&nbsp;&nbsp;file&nbsp;usps.mat&nbsp;contains&nbsp;training&nbsp;trn.X&nbsp;and&nbsp;testing&nbsp;</span><br><span class=help>&nbsp;&nbsp;tst.X&nbsp;part.&nbsp;This&nbsp;script&nbsp;generates&nbsp;file&nbsp;usps_noisy</span><br><span class=help>&nbsp;&nbsp;which&nbsp;contains</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;trn.gnd_X&nbsp;[<a href="../../references.html#256x7291" title = "" >256x7291</a>]&nbsp;Original&nbsp;training&nbsp;USPS&nbsp;data.</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;trn.X&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[<a href="../../references.html#256x7291" title = "" >256x7291</a>]&nbsp;USPS&nbsp;data&nbsp;with&nbsp;added&nbsp;Gaussian&nbsp;noise.</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;trn.y&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[<a href="../../references.html#1x7291" title = "" >1x7291</a>]&nbsp;Labels&nbsp;(1..10).</span><br><span class=help></span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;tst.gnd_X&nbsp;[<a href="../../references.html#256x2007" title = "" >256x2007</a>]&nbsp;Original&nbsp;testing&nbsp;USPS&nbsp;data.</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;tst.X&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[<a href="../../references.html#256x2007" title = "" >256x2007</a>]&nbsp;USPS&nbsp;data&nbsp;with&nbsp;added&nbsp;Gaussian&nbsp;noise.</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;tst.y&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[<a href="../../references.html#1x2007" title = "" >1x2007</a>]&nbsp;Labels&nbsp;(1..10).</span><br><span class=help>&nbsp;&nbsp;&nbsp;&nbsp;</span><br></code></div>  <hr>  <b>Source:</b> <a href= "../../demos/image_denoising/list/make_noisy_data.html">make_noisy_data.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> 07-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 + -