代码搜索:Gradient
找到约 2,951 项符合「Gradient」的源代码
代码结果 2,951
www.eeworm.com/read/359369/2978400
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,
www.eeworm.com/read/355956/10240913
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/444287/7614571
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
www.eeworm.com/read/303307/13818569
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