📄 demo_kpcadenois.html
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<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_KPCADENOIS</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>Idea of image denoising based on Kernel PCA.</b></p> <hr><div class='code'><code><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> The kernel PCA model is trained for to model input 2D vectors.</span><br><span class=help> The free model parameters (kernel argument, dimension) are </span><br><span class=help> tuned by the script train_kpca_denois. The denosing of corrupted </span><br><span class=help> vectors is based on projecting onto the kernel PCA model and </span><br><span class=help> take the resulting image as the reconstructed vector [<a href="../references.html#Mika99b" title = "" >Mika99b</a>]. This </span><br><span class=help> idea is demonstrated on a toy 2D data. </span><br><span class=help> </span><br><span class=help> <span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also> <a href = "../kernels/extraction/greedykpca.html" target="mdsbody">GREEDYKPCA</a>, <a href = "../kernels/extraction/kpcarec.html" target="mdsbody">KPCAREC</a>, <a href = "../kernels/extraction/kpca.html" target="mdsbody">KPCA</a>.</span><br><span class=help></span><br></code></div> <hr> <b>Source:</b> <a href= "../demos/list/demo_kpcadenois.html">demo_kpcadenois.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-jun2004, VF<br></body></html>⌨️ 快捷键说明
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