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  <title>Description of featuresLGpca</title>
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  <meta name="description" content="Dimensionality reduction for cuboids descriptors.">
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<h1>featuresLGpca
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Dimensionality reduction for cuboids descriptors.</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 [cubdesc,cuboids] = featuresLGpca( nsets, ncuboids, cubdesc, kpca  ) </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"> Dimensionality reduction for cuboids descriptors.

 Assumes feature extraction (FEATURESLGDETECT) has been run.  
 See FEATURESSMPCA for more info. 

 INPUTS
   nsets       - number of sets
   ncuboids    - number of cuboids to grab per .mat file
   cubdesc     - cuboid descriptor [see imagedesc_getpca]
   kpca        - number of dimensions to reduce data to [see imagedesc_getpca]
   
 OUTPUTS
   cubdec      - cuboid descriptor with pca info [see imagedesc_getpca]
   cuboids     - sampled cuboids 

 See also <a href="featuresLG.html" class="code" title="function [DATASETS,cubdesc,cuboids] = featuresLG( nsets, cliptypes,par_stfeatures, ncuboids, cubdesc, kpca )">FEATURESLG</a>, <a href="featuresSMpca.html" class="code" title="function [cubdesc,cuboids] = featuresSMpca( DATASETS, cubdesc, kpca )">FEATURESSMPCA</a>, <a href="featuresLGdetect.html" class="code" title="function featuresLGdetect( nsets, cliptypes, par_stfeatures )">FEATURESLGDETECT</a></pre></div>

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<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="../descriptors/imagedesc_getpca.html" class="code" title="function imdesc = imagedesc_getpca( I, imdesc, k, show )">imagedesc_getpca</a>	Runs descriptor on a subset of cuboids or images to get PCA coefficients.</li><li><a href="datadir.html" class="code" title="function dir = datadir( set_ind )">datadir</a>	Get location of data; alter file depending on location of dataset.</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="featuresLG.html" class="code" title="function [DATASETS,cubdesc,cuboids] = featuresLG( nsets, cliptypes,par_stfeatures, ncuboids, cubdesc, kpca )">featuresLG</a>	Feature detection and description applied to .mat behavior data.</li></ul>
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<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> &copy; 2005</address>
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