SMALLbox

h1. 2012HackSessionNotes

h2. SMALLbox Add-ons

h3. Installing an add on

This section refers to the incoherentdl algorithm code tagged as ver_1.1 in the project’s Mercurial repository. To download this version please go to the project’s homepage in http://code.soundsoftware.ac.uk/projects/incoherentdl.
The incoherent dictionary learning add-on includes algorithms for learning dictionaries that are both adapted to the training data and that exhibit a low mutual coherence (defined as the maximum absolute inner product between any two different atoms) [27]. It extends
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SMALLbox v2.0 User Documentation 27
the functionalities of the SMALL_two_step_DL toolbox which is included in the SMALLBox distribution, and is an example showing the capabilities of SMALLbox add–ons.
These are the steps needed to interface SMALLbox add-ons to the core SMALLbox dis- tribution:

* Download the add-on distribution from: http://code.soundsoftware.ac.uk/projects/incoherentdl/files
** The version you wish to download is *version 1.1*
* Place the add-on code in any convenient location of your file system, and add this to your MATLAB path
** addpath(genpath('/Users/luisf/incoherentdl-v1_1'))
* Modify the relevant files in the folder {SMALLBox Root}/config/
** modify/create SMBOX/config/SMALL_learn_config_local.m
** add this code to the config file:

<pre>
elseif strcmpi(DL.toolbox , 'SMALL_incoherentDL')

DL=SMALL_incoherentDL ( Problem , DL ) ; ;

 % we need to make sure that columns are normalised to % unit lenght .

 for i = 1: size(DL.D,2)

DL.D(: ,i)=DL.D(: ,i)/norm(DL.D(: ,i));

end

D = DL.D;
</pre>

* Run the SMALLboxInit.m script to set environmental variables.
* Run any function or script contained in the add-on.

h3. Creating a new add on