contents.html

来自「matlab最新统计模式识别工具箱」· HTML 代码 · 共 34 行

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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><h1 class="function"> Demos of the Statistical Pattern Recognition Toolbox.</h1><pre> image_denoising - (dir) Image denoising using kernel PCA. ocr             - (dir) Object Character Recognition.    <a href = "../demos/demo_anderson.html" target="mdsbody">demo_anderson</a>   - Generalized Anderson's task. <a href = "../demos/demo_emgmm.html" target="mdsbody">demo_emgmm</a>      - Expectation-Maximization algorithm for GMM. <a href = "../demos/demo_kpcadenois.html" target="mdsbody">demo_kpcadenois</a> - Idea of image denoising based on Kernel PCA. <a href = "../demos/demo_linclass.html" target="mdsbody">demo_linclass</a>   - Algorithms learning linear clasifiers. <a href = "../demos/demo_mmgauss.html" target="mdsbody">demo_mmgauss</a>    - Minimax estimation of Gaussian distribution. <a href = "../demos/demo_ocr.html" target="mdsbody">demo_ocr</a>        - Run OCR demo. <a href = "../demos/demo_pcacomp.html" target="mdsbody">demo_pcacomp</a>    - Image compresion using PCA. <a href = "../demos/demo_svm.html" target="mdsbody">demo_svm</a>        - Support Vector Machines. <a href = "../demos/demo_svmpout.html" target="mdsbody">demo_svmpout</a>    - Fitting a posteriory probability to SVM output.  About: Statistical Pattern Recognition Toolbox (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac <a href="http://www.cvut.cz">Czech Technical University Prague</a> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a> Modifications: 11-jun-2004, VF 20-sep-2003, VF</pre></body></html>

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