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%Pattern Recognition Tools (PRTOOLS 3.1.7) % Version 1 February 2002 (after PRSD course) % %Datasets and Mappings %--------------------- %dataset Define and retrieve dataset from datamatrix and la

% This code used to apply ICA(Independent Component Analysis) to make a recognition % to images or any patterns % This code is edited by Eng. Alaa Tharwat Abd El.

% This script demonstrate the use of Picard iteration on finding the optimal pitch shift for DTW in melody recognition % inputPitch: input pitch vector inputPitch=[48.044247 48.917323 49.836778 50

% Feature detection and description applied to .mat behavior data. % % See RECOGNITION_DEMO / FEATURESSM for general steps of detection / description and % differences between this function and FEAT

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.03 14-Dec-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.01 27-Aug-2004 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf

%Pattern Recognition Tools (PRTOOLS 3.1.7) % Version 1 February 2002 (after PRSD course) % %Datasets and Mappings %--------------------- %dataset Define and retrieve dataset from datamatrix and la

%Pattern Recognition Tools (PRTOOLS 3.1.7) % Version 1 February 2002 (after PRSD course) % %Datasets and Mappings %--------------------- %dataset Define and retrieve dataset from datamatrix and la

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.08 26-Feb-2008 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf

% Statistical Pattern Recognition Toolbox (STPRtool). % Version 2.07 17-Jun-2007 % % Bayesian classification. % bayescls - Bayesian classifier with reject option. % bayesdf