You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: experiments.m
    path of file: ./repos/robotic_perception/Trafic_Sign_Recognition/code/vlfeat-0.9.20-bin/vlfeat-0.9.20/apps/recognition
    
    the code of the file until where you have to start completion: function experiments()
% EXPERIMENTS   Run image classification experiments
%    The experimens download a number of benchmark datasets in the
%    'data/' subfolder. Make sure that there are several GBs of
%    space available.
%
%    By default, experiments run with a lite option turned on. This
%    quickly runs all of them on tiny subsets of the actual data.
%    This is used only for testing; to run the actual experiments,
%    set the lite variable to false.
%
%    Running all the experiments is a slow process. Using parallel
%    MATLAB and several cores/machiens is suggested.

% Author: Andrea Vedaldi

% Copyright (C) 2013 Andrea Vedaldi
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

lite = true ;
clear ex ;

    
function experiments()
% EXPERIMENTS   Run image classification experiments
%    The experimens download a number of benchmark datasets in the
%    'data/' subfolder. Make sure that there are several GBs of
%    space available.
%
%    By default, experiments run with a lite option turned on. This
%    quickly runs all of them on tiny subsets of the actual data.
%    This is used only for testing; to run the actual experiments,
%    set the lite variable to false.
%
%    Running all the experiments is a slow process. Using parallel
%    MATLAB and several cores/machiens is suggested.

% Author: Andrea Vedaldi

% Copyright (C) 2013 Andrea Vedaldi
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

lite = true ;
clear ex ;

ex(1).prefix = 'fv-aug' ;
ex(1).trainOpts = {'C', 10} ;
ex(1).datasets = {'fmd', 'scene67'} ;
ex(1).seed = 1 ;
ex(1).opts = {...
  'type', 'fv', ...
  'numWords', 256, ...
  'layouts', {'1x1'}, ...
  'geometricExtension', 'xy', ...
  'numPcaDimensions', 80, ...
  'extractorFn', @(x) getDenseSIFT(x, ...
                                   'step', 4, ...
                                   'scales', 2.^(1:-.5:-3))};

ex(2) = ex(1) ;
ex(2).datasets = {'caltech101'}  ;
ex(2).opts{end