% CUBOIDS/RECOGNITION % See also%% Demo%   recognition_demo    - Describes all steps of behavior recognition; example for facial expressions.%   datadir             - Get location of data; alter file depending on location of dataset.%% Feature detection and description.%   featuresLG          - Feature detection and description applied to .mat behavior data. %   featuresLGconv      - Convert features to DATASETS format so output is same as after featuresSM.%   featuresLGdesc      - Applies descriptor to every cuboid of every clip of every set.%   featuresLGdetect    - Detects features for each set of cuboids using stfeatures.%   featuresLGpca       - Dimensionality reduction for cuboids descriptors.%   featuresSM          - Feature detection and description applied to DATASETS behavior data. %   featuresSMdesc      - Applies descriptor to every cuboid of every clip of every set.%   featuresSMdetect    - Detects features for each set of cuboids using stfeatures.%   featuresSMpca       - Dimensionality reduction for cuboids descriptors.%% Conversion between various data formats.%   conv_clips2datasets - Converts between representations of behavior (mat -> DATASETS).%   conv_clips2movies   - Converts between representations of behavior (avi -> mat).%   conv_datasets2clips - Converts between representations of behavior (DATASETS -> mat).%   conv_movies2clips   - Converts between representations of behavior (mat -> avi).%   conv_movies2divx    - Converts between representations of behavior (avi -> compressed avi).%% Classification.%   recog_clipdesc      - Creates a clip descriptor that is simply a histogram of cuboids present. %   recog_clipsdesc     - Create descriptor of every clip.%   recog_cluster       - Clusters all cuboids in DATASETS (based on their descriptions).%   recog_test          - Test the performance of behavior recognition using the cuboid representation.%   recog_test_nfold    - Test the performance of behavior recognition using cross validation.