featuresLGpca

PURPOSE

Dimensionality reduction for cuboids descriptors.

SYNOPSIS

function [cubdesc,cuboids] = featuresLGpca( nsets, ncuboids, cubdesc, kpca )

DESCRIPTION

 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 FEATURESLG, FEATURESSMPCA, FEATURESLGDETECT

CROSS-REFERENCE INFORMATION

This function calls:

imagedesc_getpca Runs descriptor on a subset of cuboids or images to get PCA coefficients.
datadir Get location of data; alter file depending on location of dataset.

This function is called by:

featuresLG Feature detection and description applied to .mat behavior data.