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
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The labeled image is
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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