代码搜索：Pattern recognition
找到约 10,000 项符合「Pattern recognition」的源代码
代码结果 10,000
www.eeworm.com/read/315323/13545940
m recognition.m
function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp)
% 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字
% Comp 是用于识别 0和8 的底部补充信息
StrT='T';
StrL='T';
StrR='T';
StrB='T';
RStr='T';
www.eeworm.com/read/306526/13742708
m recognition.m
function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp)
% 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字
% Comp 是用于识别 0和8 的底部补充信息
StrT='T';
StrL='T';
StrR='T';
StrB='T';
RStr='T';
www.eeworm.com/read/490201/6460575
m recognition.m
function OutputName = Recognition(TestImage, m_database, V_PCA, V_Fisher, ProjectedImages_Fisher)
% Recognizing step....
%
% Description: This function compares two faces by projecting the images i
www.eeworm.com/read/479222/6690282
m recognition.m
function OutputName = Recognition(TestImage, m, A, Eigenfaces)
% Recognizing step....
%
% Description: This function compares two faces by projecting the images into facespace and
% measuring the
www.eeworm.com/read/262894/11386706
gif recognition.gif
www.eeworm.com/read/154564/11945903
m recognition.m
%
% 文本文件sDataFile必须为以下格式：
% Database D:\kk.h\study\人脸库\ORL\92x112\
% TrainSet 1
% TestSet 2,3,4,5,6,7,8,9,10
%
% Database D:\kk.h\study\人脸库\ORL\92x112\
% TrainSet 1,2,3
% TestSet 4,5,6,7,8,
www.eeworm.com/read/130198/14203894
m recognition.m
function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp)
% 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字
% Comp 是用于识别 0和8 的底部补充信息
StrT='T';
StrL='T';
StrR='T';
StrB='T';
RStr='T';
www.eeworm.com/read/208562/15244368
m recognition.m
% Copyright (C) 2006, Eric Chi.
% chijing80@hotmail.com
% Test samples set.
testSamplesNum = samplesPerPerson - trainSamplesNum;
testSamplesTotal = testSamplesNum * personsNum;
% Recogniton b
www.eeworm.com/read/206631/15292767
txt recognition.txt
0.0 1.0 1.0 1.0 1.0 1.0 0.0 0.0
1.0 1.0 0.0 0.0 0.0 1.0 1.0 0.0
1.0 1.0 0.0 0.0 1.0 1.0 1.0 0.0
1.0 1.0 0.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 0.0
1.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0
www.eeworm.com/read/15711/535977
m recognition.m
function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp)
% 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字
% Comp 是用于识别 0和8 的底部补充信息
StrT='T';
StrL='T';
StrR='T';
StrB='T';
RStr='T';