init_learn_param.m~

Standard model object recognition matlab code

% init_learn_param.m
%
% Sets of learning parameters are defined here.
%    learn_num_patch     = number of patches per training image
%    learn_patch_siz     = size of patches (spatial dimension)
%    learn_num_afferents = number of afferents within the patch
%    learn_scales        = scale band to learn from
%    shift               = shift
%  Retired (from Serre's code):
%    learn_path          = path containing the learning files
%    learn_files         = files to learn from (wild-card)
%    learn_height        = resize the images, if necessary
%    learn_savefile          = filename to save.

global ON_CON  % Synaptic "CON"nections that are "ON".
ON_CON = 10;

global learn_file;

[a,b,c] = init_filter_def(layer);
learn_patch_siz     = b(1,:);
%learn_num_afferents = b(:,4);
shift               = c;

learn_num_patch     = 25; 
learn_num_patch     = 50; 
% Learn from the first scale, unless defined below.
switch layer 
  case (3) % S2b
    learn_num_afferents = 100;
    %learn_num_afferents = 10;
    learn_scales = 5; 
  case (5) % S2
    learn_num_afferents = 10;
    learn_scales = 3;
  case (7) % S3
    learn_num_afferents = 100;
    learn_scales = 1; 
  otherwise
    learn_num_afferents = 100;
    learn_scales = 1; 
end

if learn_num_afferents > min(prod(b(1:3,:)))
  error(['Too many features to learn for Layer ' num2str(layer)]);
end