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% Face recognition program clear all close all clc % number of images on your training set. M=20; %Chosen std and mean. %It can be any number that it is close to the std and mean of most of

This package contains speech recognition research tools. I implemented a feature extraction program and three most popular speech recognizers, i.e., Dynamic time-wrapping algorithm (DTW), Discrete H

%SVMexample01a.m %Two Dimension SVM Problem, Two Class and Separable Situation % %Method from Christopher J. C. Burges: %"A Tutorial on Support Vector Machines for Pattern Recognition", page 8 %

- make argv[0]-recognition of X/YModem work with program_name_transform. - look into VMIN code: how to determine if it's usable (it isn't unter FreeBSD and NetBSD (might have changed) and possibly m

- make argv[0]-recognition of X/YModem work with program_name_transform. - look into VMIN code: how to determine if it's usable (it isn't unter FreeBSD and NetBSD (might have changed) and possibly m

% BAYESDEMO2 demo on Bayes classifiation and error estimation. % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.c

function []=pline(alpha,theta,arg,win) % []=pline(alpha,theta,arg,win) % % PLINE plots the line alpha'*x=theta. % % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Cz

% BAYESDEMO2 demo on Bayes classifiation and error estimation. % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.c

echo on; % KPCADEMO1 demo on the Kernel-PCA. % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.cz % Modificati

% PCADEMO1 demo on use of standard PCA. % Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac % (c) Czech Technical University Prague, http://cmp.felk.cvut.cz % Modifications: %