📄 recog_test_nfold.html
字号:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
"http://www.w3.org/TR/REC-html40/loose.dtd">
<html>
<head>
<title>Description of recog_test_nfold</title>
<meta name="keywords" content="recog_test_nfold">
<meta name="description" content="Test the performance of behavior recognition using cross validation.">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta name="generator" content="m2html © 2005 Guillaume Flandin">
<meta name="robots" content="index, follow">
<link type="text/css" rel="stylesheet" href="../m2html.css">
<script type="text/javascript">
if (top.frames.length == 0) { top.location = "../index.html"; };
</script>
</head>
<body>
<a name="_top"></a>
<!-- menu.html recognition -->
<h1>recog_test_nfold
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Test the performance of behavior recognition using cross validation.</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function [ER,CM] = recog_test_nfold( DATASETS, k, nreps ) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Test the performance of behavior recognition using cross validation.
Training occurs on all but (n-1) of the sets and testing on the remaining one, giving a
total of (n) training/testing scenarios. One simplification is used here: clustering is
done only once, using all of the data. When reporting final results, clustering needs
to be done each time separately, as in recog_test.
Parameters for clustering and classification can be specified inside this file.
INPUTS
DATASETS - array of structs, should have the fields:
.IDX - length N vector of clip types
.desc - length N cell vector of cuboid descriptors
.ncilps - N: number of clips
k - number of clusters
nreps - number of repetitions
OUTPUTS
ER - error - averaged over nreps
CM - confusion matrix - averaged over nreps
See also <a href="recognition_demo.html" class="code" title="">RECOGNITION_DEMO</a>, <a href="recog_test.html" class="code" title="function [ER,CMS] = recog_test( DATASETS, k, nreps )">RECOG_TEST</a>, NFOLDXVAL, <a href="recog_cluster.html" class="code" title="function [clusters,M] = recog_cluster( DATASETS, k, par_kmeans )">RECOG_CLUSTER</a>, <a href="recog_clipsdesc.html" class="code" title="function data = recog_clipsdesc( DATASETS, clusters, csigma )">RECOG_CLIPSDESC</a></pre></div>
<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="recog_clipsdesc.html" class="code" title="function data = recog_clipsdesc( DATASETS, clusters, csigma )">recog_clipsdesc</a> Create descriptor of every clip.</li><li><a href="recog_cluster.html" class="code" title="function [clusters,M] = recog_cluster( DATASETS, k, par_kmeans )">recog_cluster</a> Clusters all cuboids in DATASETS (based on their descriptions).</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
<!-- crossreference -->
<hr><address>Generated on Tue 11-Oct-2005 20:31:02 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/" target="_parent">m2html</a></strong> © 2005</address>
</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 + -