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Recognition 的代码
recog.c
/* Subroutines used by or related to instruction recognition.
Copyright (C) 1987, 1988 Free Software Foundation, Inc.
This file is part of GNU CC.
GNU CC is free software; you can redistribute it
复件 pcarecognition.m
% 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
show_denois_tuning.m
% SHOW_DENOIS_TUNING Plots curves of tuning stage of Kernel PCA
% and liner PCA trained for denosing of UPSP handwritten numerals.
%
% About: Statistical Pattern Recognition Toolbox
% (C) 1999-2003
bayesdemo3.m
% BAYESDEMO3 Bayesian risk and minimax strategy.
%
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
%
show_denois_tuning.m
% SHOW_DENOIS_TUNING Plots curves of tuning stage of Kernel PCA
% and liner PCA trained for denosing of UPSP handwritten numerals.
%
% About: Statistical Pattern Recognition Toolbox
% (C) 1999-2003
一个人脸识别的matlab程序.txt
% Face recognition by Santiago Serrano
clear all
close all
clc
% number of images on your training set.
M=9;
%Chosen std and mean.
%It can be any number that it is close to the std and mean
bayesdemo3.m
% BAYESDEMO3 Bayesian risk and minimax strategy.
%
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
%
multisvmdemo1.m
% Demonstration of multi-class SVM learning.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%
minballdemo1.m
% Demo on finding minimal ball around data.
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Modifications
%
bayesdemo3.m
% BAYESDEMO3 Bayesian risk and minimax strategy.
%
% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
%