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/412215/2175156
txt about.txt
In this demo you can:
- experiment by using the supplied background images or load one of your own
- check out the look of various gradient fill options
- see how the gender field is used to
www.eeworm.com/read/415223/11080092
m group_gp.m
function [s, err_mse, iter_time]=group_gp(x,A,group,varargin)
% group_gp: Group Gradient Pursuit algorithm (modification from [1])
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/415223/11080097
m block_gp.m
function [s, err_mse, iter_time]=block_gp(x,A,group,varargin)
% block_gp: Block Gradient Pursuit algorithm (modification from [1])
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
www.eeworm.com/read/414496/11110646
c cannyedge.c
// cannyedge.cxx
// =============
// Canny Edge detection method
// Processing steps are;
// 1) smoothing image using gaussian filter
// 2) compute gradient deltaX, deltaY of smoothed image
// 3) comp
www.eeworm.com/read/112466/15484748
tex edge.tex
\rhead {class EDGE}
\section{EDGE : Edge Gradient}
{\tt EDGE} is a class for operating image intensity to produce an edge map marking the location, strength and direction of edge points. The inten
www.eeworm.com/read/106690/15626575
m gradplot.m
% gradplot() - Compute the gradient of EEG scalp map(s) on a square grid
%
% Usage:
% >> [gradX, gradY] = gradplot(maps,eloc_file,draw)
% Inputs:
% maps - Activity levels, size (nel
www.eeworm.com/read/191902/8417326
m backpropagation_cgd.m
function [D, Wh, Wo] = Backpropagation_CGD(train_features, train_targets, params, region)
% Classify using a backpropagation network with a batch learning algorithm and conjugate gradient descent
www.eeworm.com/read/389318/8533755
m varest.m
% VAREST: Computes the covariance matrix, std. errors, and confidence intervals of the GMM estimators.
%
% SYNTAX: [VAR, SD, CI] = varest(D, S, theta, T)
%
% INPUT
% D : The gradient of the s
www.eeworm.com/read/185152/9054808
m testg.m
function f=testg(x)
% Usage:
% g=testg(x)
% TESTG is the interface function that used for
% accessing routines included to More set of test functions.
% TESTG returns the gradient at a point
www.eeworm.com/read/184067/9123723
m fminusub.m
function [x,FVAL,GRADIENT,HESSIAN,EXITFLAG,OUTPUT] = fminusub(funfcn,x,verbosity,options,Fval,Gval,Hval,varargin)
%FMINUSUB Finds the minimum of a function of several variables.
% Copyright (c)