代码搜索:Classify

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c svm_struct_classify.c

/***********************************************************************/ /* */ /* svm_struct_classify.c
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m classify_new_data.m

function [us_class] = Classify_New_Data(X_in,model) % [us_class] = Classify_New_Data(X_in,model) % Classify unseen examples - X_in is the input data (one case per row) % % Clustering Through Ranking
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c svm_struct_classify.c

/***********************************************************************/ /* */ /* svm_struct_classify.c
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m new_start_classify.m

% ------------------------------------------------ % This method has a much be % % disp('In new_start_classify'); myalgorithm = [algorithm '_VC']; train_err = []; test_err = []; [Nclasses, classes]
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java vectors2classify.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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m gaussian_classify_mfold.m

function [confmat,acc,accstd]=gaussian_classify_Mfold(data,labels,M,covflag) % function [confmat,acc,accstd]=gaussian_classify_Mfold(data,labels,M,covflag) % Matlab function to do Gaussian model cla
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m classify_img2.m

function [res_img] = classify_img2(rgb_img, t_inds,tol); %Uses multiple cubes for background %convert to YCbCr- this has less covariance ycc_img = double(rgb2ycbcr(rgb_img)); [M N P] = size(rgb_im