代码搜索:gradient
找到约 2,951 项符合「gradient」的源代码
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www.eeworm.com/read/269693/11082728
css visio.css
td {vertical-align: top;}
.fillcolor
{ vertical-align: top;
padding: 0pt;
background-color:#5C85EF;
filter:progid:DXImageTransform.Microsoft.Gradient(GradientType=1, StartColorStr='#5C85EF',
www.eeworm.com/read/429878/8784130
htm mdngrad.htm
Netlab Reference Manual mdngrad
mdngrad
Purpose
Evaluate gradient of error function for Mixture Density Network.
Synopsis
www.eeworm.com/read/429878/8784206
htm demgpot.htm
Netlab Reference Manual demgpot
demgpot
Purpose
Computes the gradient of the negative log likelihood for a mixture model.
S
www.eeworm.com/read/363636/9941443
m intgrad3.m
function fhat = intgrad3(fx,fy,fz,dx,dy,dz,f111)
% intgrad: generates a surface, integrating gradient information.
% usage: fhat = intgrad(fx,fy,fz)
% usage: fhat = intgrad(fx,fy,fz,dx,dy,dz)
% usage:
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txt snake.txt
bool termination_point
bool neighbor3by3; /* true means 3x3 neighborhood, false means 5x5 neighborhood */
int grad_mag[500][500]; /* Magnitude of Gradient */
int m_Cols; /* Number of Columns */
in
www.eeworm.com/read/480593/6666444
m testgaussgradient.m
clc; clear all; close all;
im=imread('quadrado.bmp');
fim=mat2gray(im);
%[grad]=gradient(fim);
[imx imy]=gaussgradient(fim,0.05);
grad = abs(imx)+abs(imy);
G = fft2(grad);
F = fftshift(ff
www.eeworm.com/read/156725/11782285
m medical.m
I = imread('rice.tif');
figure, imshow(I), title('原图');
BWs = edge(I, 'sobel', (graythresh(I) * .1));%边缘提取
figure, imshow(BWs), title('binary gradient mask');
se90 = strel('line', 3, 90);%建立结构函数
www.eeworm.com/read/253950/12174127
htm mdngrad.htm
Netlab Reference Manual mdngrad
mdngrad
Purpose
Evaluate gradient of error function for Mixture Density Network.
Synopsis
www.eeworm.com/read/253950/12174161
htm demgpot.htm
Netlab Reference Manual demgpot
demgpot
Purpose
Computes the gradient of the negative log likelihood for a mixture model.
S
www.eeworm.com/read/150905/12250301
htm mdngrad.htm
Netlab Reference Manual mdngrad
mdngrad
Purpose
Evaluate gradient of error function for Mixture Density Network.
Synopsis