代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/450608/7480411
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/442927/7641752
m sgceval.m
function [computedClass, recogRate, hitIndex]=sgcEval(DS, classParam, plotOpt)
% sgcTrain: Evaluation for single Gaussian classifier
% Usage: [computedClass, recogRate, hitIndex]=sgcEval(DS, classPa
www.eeworm.com/read/441245/7673050
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/397106/8067819
m parzen_vc.m
% Learns classifier and classifies test set
% using Parzen Windows
% Usage
% [trainError, testError, estTrainLabels, estTestLabels] = ...
% Parzen_VC(trainFeatures, trainLabels,Nmu ,tes
www.eeworm.com/read/397102/8068464
m classim.m
%CLASSIM Classify image using a given classifier
%
% labels = classim(D,N)
%
% Returns an image with the labels of the classified datasetimage D
% (typically the result of a mapping or classificat
www.eeworm.com/read/137160/13342298
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/314653/13562539
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/493294/6400287
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/400577/11573014
m subsc.m
%SUBSC Subspace Classifier
%
% W = SUBSC(A,N)
% W = SUBSC(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Desired model dimensionality or fraction of retained
% variance per
www.eeworm.com/read/342008/12047431
m classim.m
%CLASSIM Classify image using a given classifier
%
% labels = classim(D,N)
%
% Returns an image with the labels of the classified datasetimage D
% (typically the result of a mapping or classificat