代码搜索:gradient

找到约 2,951 项符合「gradient」的源代码

代码结果 2,951
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m rosegrad.m

function g = rosegrad(x) %ROSEGRAD Calculate gradient of Rosenbrock's function. % % Description % G = ROSEGRAD(X) computes the gradient of Rosenbrock's function at % each row of X, which should h
www.eeworm.com/read/290325/8489656

cpp gameswf_morph.cpp

// gameswf_morph.cpp // -- Thatcher Ulrich , Mike Shaver 2003 // This source code has been donated to the Public Domain. Do // whatever you want with it. // Loading
www.eeworm.com/read/166433/10021472

m direction.m

function [p,z] = direction(image,blocksize,noShow) % DIRECTION cacluates the local flow orientation in each local window % with size (blocksize x blocksize) % direction(grayScaleFingerprintImage,
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m direction.m

function [p,z] = direction(image,blocksize,noShow) % DIRECTION cacluates the local flow orientation in each local window % with size (blocksize x blocksize) % direction(grayScaleFingerprintImage,
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m direction.m

function [p,z] = direction(image,blocksize,noShow) % DIRECTION cacluates the local flow orientation in each local window % with size (blocksize x blocksize) % direction(grayScaleFingerprintImage,
www.eeworm.com/read/130196/5963036

m grad_func.m

function [gradient]=grad_func(rn, point) % [gradient]=grad_func(rn, point) % % global RBFNET_CG_TEMP_DATA ; % G. Raetsch 1.6.98 % Copyright (c) 1998 GMD Berlin - All rights reserved % T
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m rbfgrad_w.m

function [C_mu, C_sigma]=rbfgrad_w(X, Y, O, mu, sigma, w, H, Inp, eta, h1_sigma_sigma, h2_sigma_sigma, dif_h1_h1, dif_h2_h2) % [C_mu, C_sigma]=cen_wid_gradient(X, Y, O, mu, sigma, w, H, Inp, ... % e
www.eeworm.com/read/475633/6774970

cpp gameswf_morph.cpp

// gameswf_morph.cpp // -- Thatcher Ulrich , Mike Shaver 2003 // This source code has been donated to the Public Domain. Do // whatever you want with it. // Loading
www.eeworm.com/read/374321/9409337

m gaussgradient.m

function [gx,gy]=gaussgradient(IM,sigma) %GAUSSGRADIENT Gradient using first order derivative of Gaussian. % [gx,gy]=gaussgradient(IM,sigma) outputs the gradient image gx and gy of % image IM usi
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m iirgradient.m

function [gx,gy]=IIRgradient(IM,As,Bs) %GAUSSGRADIENT Gradient using first order derivative of Gaussian. % [gx,gy]=gaussgradient(IM,sigma) outputs the gradient image gx and gy of % image IM using