📄 sharedboostingfdpresampling.m
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%Boosted discrmininant projections
%
% David Masip http://www.cvc.uab.es/~davidm/Sitio_web/Personal.html
%
% Inputs:
% - X.dat = NFeatures x NSamples data matrix
% - X.labels = 1xNsamples with the cosnecutive data labels
% - Configuration: structure with parameters:
% Configuration.BoostingIterations : Number of extracted features.
% Configuration.ClassRessampling : Sampling of classes (used when the number of classes is large)
% Outputs:
% - clas: parameters of the feature extraction at each step
% - Proj: resulting projection matrix
%
% Please, when using this code cite:
%
% David Masip, Jordi Vitri
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