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找到约 10,000 项符合「usage」的源代码

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m ml_test.m

function [f,labels,error]=ml_test(classifier,X,Y) % ML_TEST Uses a classifier to classify data in X % ----------------------------------------------------------------------------% % % Usage: % [f,la
www.eeworm.com/read/371255/9559181

m testvgghomog.m

% Demonstration of feature matching via simple correlation, and then using % RANSAC to estimate the homography between two images and at the same time % identify (mostly) inlying matches % % Usage: t
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m testhomog.m

% Demonstration of feature matching via simple correlation, and then using % RANSAC to estimate the homography between two images and at the same time % identify (mostly) inlying matches % % Usage: t
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m showfft.m

% SHOWFFT - Displays amplitude spectrum of an fft. % % Usage: showfft(ft, figNo) % % Arguments: ft - Fourier transform to be displayed % figNo - Optional figure number to display imag
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m showlogfft.m

% SHOWLOGFFT - Displays log amplitude spectrum of an fft. % % Usage: showlogfft(ft, figNo) % % Arguments: ft - Fourier transform to be displayed % figNo - Optional figure number to di
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m polartrans.m

% POLARTRANS - Transforms image to polar coordinates % % Usage: pim = polartrans(im, nrad, ntheta, cx, cy, linlog, shape) % % Arguments: % im - image to be transformed. % nr
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m dispfeat.m

% DISPFEAT - Displays feature types as detected by PHASECONG. % % This function provides a visualisation of the feature types as detected % by PHASECONG. % % Usage: im = dispfeat(ft, edgeim, 'l') % %
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m testp.m

% Function to make ramps test surface for shape from shapelet testing % % Usage: % function [z,s,t] = testp(noise) % % Arguments: % noise - An optional parameter specifyin
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m anisodiff.m

% ANISODIFF - Anisotropic diffusion. % % Usage: % diff = anisodiff(im, niter, kappa, lambda, option) % % Arguments: % im - input image % niter - number of iterations. % k
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m testfin.m

% TESTFIN % % Function to demonstrate use of fingerprint code % % Usage: [newim, binim, mask, reliability] = testfin(im); % % Argument: im - Fingerprint image to be enhanced. % % Returns: new