Mercurial > hg > smallbox
view util/SMALL_learn.m @ 200:69ce11724b1f luisf_dev
Added dictionary decorrelation for multiple dictionaries
author | bmailhe |
---|---|
date | Tue, 20 Mar 2012 12:25:50 +0000 |
parents | d50f5bdbe14c |
children | 83af80baf959 |
line wrap: on
line source
function DL = SMALL_learn(Problem,DL) %% SMALL Dictionary Learning % % Function gets as input Problem and Dictionary Learning (DL) structures % In Problem structure field b with the training set needs to be defined % In DL fields with name of the toolbox and solver, and parameters file % for particular dictionary learning technique needs to be present. % % Outputs are Learned dictionary and time spent as a part of DL structure % % Centre for Digital Music, Queen Mary, University of London. % This file copyright 2009 Ivan Damnjanovic. % % This program is free software; you can redistribute it and/or % modify it under the terms of the GNU General Public License as % published by the Free Software Foundation; either version 2 of the % License, or (at your option) any later version. See the file % COPYING included with this distribution for more information. %% global SMALL_path if (DL.profile) fprintf('\nStarting Dictionary Learning %s... \n', DL.name); end start=cputime; tStart=tic; % configuration file run([SMALL_path 'config/SMALL_learn_config.m']); %% % Dictionary Learning time tElapsed=toc(tStart); DL.time = cputime - start; if (DL.profile) fprintf('\n%s finished task in %2f seconds (cpu time). \n', DL.name, DL.time); fprintf('\n%s finished task in %2f seconds (tic-toc time). \n', DL.name, tElapsed); end DL.time=tElapsed; % If dictionary is given as a sparse matrix change it to full DL.D = full(D); end