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/350547/10732671

c bmpimagedefine.c

//*************************************************************************** // //文件名: BmpImageDefine.c //程序语言: C //功能: Bmp图像数据类型定义 //说明: 五 //完成日期: 2006-2-5 //修改日期: 2005-2-5 //作者: 张斯聪
www.eeworm.com/read/276425/10738260

txt idxlist.txt

same 2,4,284 proportion 2,4,278 highest 2,4,277 partners 2,4,280 2,4,267 sexes 2,4,258 adults 2,4,254 young 2,4,253 second 2,4,251 rest 2,4,245 ancestors 2,4,238 among 2,4,236 g
www.eeworm.com/read/270407/11039227

l ch1-02.l

%{ /* * this sample demonstrates (very) simple recognition: * a verb/not a verb. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do | does | did | wi
www.eeworm.com/read/408124/7154371

l ch1-02.l

%{ /* * this sample demonstrates (very) simple recognition: * a verb/not a verb. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do | does | did | wi
www.eeworm.com/read/462450/7201526

txt malic说明.txt

码,它是SourceForge上的一个开源项目,使用Malib实现实时处理,CSU Face Identification Evaluation System进行人脸识别。算法包括:主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(
www.eeworm.com/read/442927/7641966

m inputselectplot.m

function inputSelectPlot(allRecogRate, allSelectedInput, inputName, callingFunction); % inputSelectPlot: Plot for input selection % Usage: inputSelectPlot(allRecogRate, allSelectedInput, inputName,
www.eeworm.com/read/437101/7755285

txt readme.txt

'Eigenface' Face Recognition System Written by: Amir Hossein Omidvarnia Email: aomidvar@ece.ut.ac.ir This package implements a well-known PCA-based face recognition method, which is
www.eeworm.com/read/199364/7864507

plg kmeans.cpp.plg

Build Log --------------------Configuration: KMEANS.cpp - Win32 Debug-------------------- Command Lines Creating temporary file "C:\DOCUME~1\AD
www.eeworm.com/read/397761/8023498

m example35re.m

%nn1R, Recognition of BP network %=============== %例3.5 训练好的BP网络识别加了噪声的测试样本 %=============== clc; [length,width]=size(b1); b=double(b1); q=reshape(b,length*width,1); %改32*32的矩阵为1024*1的矩阵
www.eeworm.com/read/315921/13534872

l ch1-02.l

%{ /* * this sample demonstrates (very) simple recognition: * a verb/not a verb. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do | does | did | wi