📄 show_denois_tuning.html
字号:
<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>show_denois_tuning.m</title><link rel="stylesheet" type="text/css" href="../../../m-syntax.css"></head><body><code><span class=h1>% SHOW_DENOIS_TUNING Plots curves of tuning stage of Kernel PCA </span><br><span class=help>% and liner PCA trained for denosing of UPSP handwritten numerals.</span><br><span class=help>%</span><br><hr><span class=help1>% <span class=help1_field>About:</span> Statistical Pattern Recognition Toolbox</span><br><span class=help1>% (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac</span><br><span class=help1>% <a href="http://www.cvut.cz">Czech Technical University Prague</a></span><br><span class=help1>% <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a></span><br><span class=help1>% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a></span><br><br><span class=help1>% <span class=help1_field>Modifications:</span></span><br><span class=help1>% 06-jun-2004, VF</span><br><span class=help1>% 28-apr-2004, VF</span><br><br><hr><span class=comment>% Models with results of tuning</span><br><span class=comment>%-------------------------------------------------------</span><br>kpca_filename = <span class=quotes>'USPSModelGreedyKPCA.mat'</span>; <span class=comment>% kpca model</span><br>lpca_filename = <span class=quotes>'USPSModelLinPCA.mat'</span>; <span class=comment>% linear PCA model</span><br><br><span class=comment>% Kernel KPCA </span><br><span class=comment>%-------------------------------------------------------</span><br>load( kpca_filename );<br><br><span class=graph>figure</span>; hold on; title(<span class=quotes>'Tuning greedy KPCA'</span>);<br>xlabel(<span class=quotes>'\sigma'</span>); ylabel(<span class=quotes>'\epsilon_{MS}'</span>);<br><br>h = [];<br>clear Str;<br><span class=keyword>for</span> i=1:length(New_Dim_Range),<br> h = [h, <span class=graph>plot</span>(Arg_Range, Mse(i,:),marker_color(i) )];<br> Str{i} = <span class=io>sprintf</span>(<span class=quotes>'dim = %d'</span>, New_Dim_Range(i));<br><span class=keyword>end</span><br>legend(h,Str);<br><br><span class=comment>% Linear PCA </span><br><span class=comment>%-------------------------------------------------------</span><br>load( lpca_filename ); <br><br><span class=graph>figure</span>; hold on; title(<span class=quotes>'Tuning linear PCA'</span>);<br>xlabel(<span class=quotes>'dim'</span>); ylabel(<span class=quotes>'\epsilon_{MS}'</span>);<br><br><span class=graph>plot</span>(New_Dim_Range,Mse);<br><br><span class=comment>% EOF</span><br></code>⌨️ 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 + -