代码搜索:Labeled

找到约 414 项符合「Labeled」的源代码

代码结果 414
www.eeworm.com/read/397102/8068302

m fisherm.m

%FISHERM Optimal discrimination mapping (Fisher mapping) % % W = fisherm(A,n) % % Finds a mapping of the labeled dataset A to a n-dimensional % linear subspace such that it maximizes the the bet
www.eeworm.com/read/108574/6181857

h pcidpguid.h

// THIS CODE IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED // OR IMPLIED. THIS CODE IS LABELED "OPEN SOFTWARE" AND MAY BE FREELY USED, // REPRODUCED, MODIFIED, AND/OR REDISTRI
www.eeworm.com/read/342008/12046776

m chernoffm.m

%CHERNOFFM Optimal discrimination mapping using Chernoff criterion % % W = cernoffm(A,n) % % Finds a mapping of the labeled dataset A to a n-dimensional % linear subspace such that it maximizes
www.eeworm.com/read/342008/12047290

m fisherm.m

%FISHERM Optimal discrimination mapping (Fisher mapping) % % W = fisherm(A,n) % % Finds a mapping of the labeled dataset A to a n-dimensional % linear subspace such that it maximizes the the bet
www.eeworm.com/read/293183/8310158

m chernoffm.m

%CHERNOFFM Optimal discrimination mapping using Chernoff criterion % % W = cernoffm(A,n) % % Finds a mapping of the labeled dataset A to a n-dimensional % linear subspace such that it maximizes
www.eeworm.com/read/293183/8310654

m fisherm.m

%FISHERM Optimal discrimination mapping (Fisher mapping) % % W = fisherm(A,n) % % Finds a mapping of the labeled dataset A to a n-dimensional % linear subspace such that it maximizes the the bet
www.eeworm.com/read/367152/9779898

m lans_cscatline.m

% lans_cscatline - Plot class labeled data and regressed line % % [] = lans_cscatline(ldata,rdata,options) % % _____INPUTS_____________________________________________________________ % ldata class la
www.eeworm.com/read/386050/8767282

m cnormc.m

%CNORMC Classifier normalisation for ML posterior probabilities % % W = CNORMC(W,A) % % INPUT % W Classifier mapping % A Labeled dataset % % OUTPUT % W Scaled classifier mapping % % DESCRIPT
www.eeworm.com/read/168218/9932811

out image.out

Enter image size The input image is 0010000 0011000 0000100 0001100 1000100 1110000 1110000 The labeled image is 0020000 0022000 0000300 0003300 4000300 4440000 4440000
www.eeworm.com/read/168218/9933151

out image.out

Enter image size The input image is 0010000 0011000 0000100 0001100 1000100 1110000 1110000 The labeled image is 0020000 0022000 0000300 0003300 4000300 4440000 4440000