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<h1>Contents
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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>CUBOIDS/RECOGNITION</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>This is a script file. </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"> CUBOIDS/RECOGNITION
See also
Demo
<a href="recognition_demo.html" class="code" title="">recognition_demo</a> - Describes all steps of behavior recognition; example for facial expressions.
<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.
Feature detection and description.
<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.
<a href="featuresLGconv.html" class="code" title="function DATASETS = featuresLGconv( nsets, cliptypes )">featuresLGconv</a> - Convert features to DATASETS format so output is same as after <a href="featuresSM.html" class="code" title="function [DATASETS,cubdesc,cuboids] = featuresSM( DATASETS, par_stfeatures, cubdesc, kpca)">featuresSM</a>.
<a href="featuresLGdesc.html" class="code" title="function featuresLGdesc( nsets, cubdesc )">featuresLGdesc</a> - Applies descriptor to every cuboid of every clip of every set.
<a href="featuresLGdetect.html" class="code" title="function featuresLGdetect( nsets, cliptypes, par_stfeatures )">featuresLGdetect</a> - Detects features for each set of cuboids using stfeatures.
<a href="featuresLGpca.html" class="code" title="function [cubdesc,cuboids] = featuresLGpca( nsets, ncuboids, cubdesc, kpca )">featuresLGpca</a> - Dimensionality reduction for cuboids descriptors.
<a href="featuresSM.html" class="code" title="function [DATASETS,cubdesc,cuboids] = featuresSM( DATASETS, par_stfeatures, cubdesc, kpca)">featuresSM</a> - Feature detection and description applied to DATASETS behavior data.
<a href="featuresSMdesc.html" class="code" title="function DATASETS = featuresSMdesc( DATASETS, cubdesc )">featuresSMdesc</a> - Applies descriptor to every cuboid of every clip of every set.
<a href="featuresSMdetect.html" class="code" title="function DATASETS = featuresSMdetect( DATASETS, par_stfeatures )">featuresSMdetect</a> - Detects features for each set of cuboids using stfeatures.
<a href="featuresSMpca.html" class="code" title="function [cubdesc,cuboids] = featuresSMpca( DATASETS, cubdesc, kpca )">featuresSMpca</a> - Dimensionality reduction for cuboids descriptors.
Conversion between various data formats.
<a href="conv_clips2datasets.html" class="code" title="function DATASETS = conv_clips2datasets( nsets, cliptypes )">conv_clips2datasets</a> - Converts between representations of behavior (mat -> DATASETS).
<a href="conv_clips2movies.html" class="code" title="function conv_clips2movies( set_ind, maskflag )">conv_clips2movies</a> - Converts between representations of behavior (avi -> mat).
<a href="conv_datasets2clips.html" class="code" title="function conv_datasets2clips( DATASETS, cliptypes )">conv_datasets2clips</a> - Converts between representations of behavior (DATASETS -> mat).
<a href="conv_movies2clips.html" class="code" title="function conv_movies2clips( set_ind )">conv_movies2clips</a> - Converts between representations of behavior (mat -> avi).
<a href="conv_movies2divx.html" class="code" title="function conv_movies2divx( set_ind )">conv_movies2divx</a> - Converts between representations of behavior (avi -> compressed avi).
Classification.
<a href="recog_clipdesc.html" class="code" title="function clipdesc = recog_clipdesc( desc_cuboids, nclusters, nframes )">recog_clipdesc</a> - Creates a clip descriptor that is simply a histogram of cuboids present.
<a href="recog_clipsdesc.html" class="code" title="function data = recog_clipsdesc( DATASETS, clusters, csigma )">recog_clipsdesc</a> - Create descriptor of every clip.
<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).
<a href="recog_test.html" class="code" title="function [ER,CMS] = recog_test( DATASETS, k, nreps )">recog_test</a> - Test the performance of behavior recognition using the cuboid representation.
<a href="recog_test_nfold.html" class="code" title="function [ER,CM] = recog_test_nfold( DATASETS, k, nreps )">recog_test_nfold</a> - Test the performance of behavior recognition using cross validation.</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>
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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> © 2005</address>
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