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找到约 1,827 项符合 Recognition 的代码

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

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

readme.txt

'Fisherface' Face Recognition System Written by: Amir Hossein Omidvarnia Email: aomidvar@ece.ut.ac.ir This package implements a well-known FLD-based face recognition method, which is

example.m

% A sample script, which shows the usage of functions, included in % FLD-based face recognition system (Fisherface method) % % See also: CREATEDATABASE, FISHERFACECORE, RECOGNITION % Original ve

ch1-03.l

%{ /* * We expand upon the first example by adding recognition of some other * parts of speech. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do |

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

readme.hmm

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

readme.hmm

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

ch1-03.l

%{ /* * We expand upon the first example by adding recognition of some other * parts of speech. */ %} %% [\t ]+ /* ignore white space */ ; is | am | are | were | was | be | being | been | do |

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