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/349902/10786680
tff grb.tff
# TextFileFormat (leave this tag as magic token!)
# BVQX file format for *.GRB files (GRadient and B-values information)
# GRB FileVersions supported: 1
#
# Version: v0.6f
# Build: 7062612
www.eeworm.com/read/275385/10820228
c pcg.c
/*
* pcg.c -- function for Preconditioned Conjugate Gradient solution
* of weighted least-squares phase-unwrapping problem
*/
#include
#include
#include "solncos
www.eeworm.com/read/417657/10981205
m~ findseamimg.m~
function SeamImg=findSeamImg(x)
% FINDSEAMIMG finds the seam map from which the optimal (vertical running)
% seam can be calculated. Input is gradient image found from findEnergy.m.
%
% The index
www.eeworm.com/read/417657/10981212
m findseamimg.m
function SeamImg=findSeamImg(x)
% FINDSEAMIMG finds the seam map from which the optimal (vertical running)
% seam can be calculated. Input is gradient image found from findEnergy.m.
%
% The index
www.eeworm.com/read/466394/7034626
m emshift.m
function [xt,Vt]=EMShift(im0,xt,V,histO,K,beta,varargin)
%Calculate gradient step to maximize similarity between the target
%and the object histogram - Bhattacharayya coefficient
%The step is in bo
www.eeworm.com/read/449077/7518931
m findseamimg.m
function SeamImg=findSeamImg(x)
% FINDSEAMIMG finds the seam map from which the optimal (vertical running)
% seam can be calculated. Input is gradient image found from findEnergy.m.
%
% The index
www.eeworm.com/read/197354/8002306
clw gradienttxt.clw
; CLW file contains information for the MFC ClassWizard
[General Info]
Version=1
LastClass=CAboutDlg
LastTemplate=CDialog
NewFileInclude1=#include "stdafx.h"
NewFileInclude2=#include "Gradient
www.eeworm.com/read/397967/8012499
m findseamimg.m
function SeamImg=findSeamImg(x)
% FINDSEAMIMG finds the seam map from which the optimal (vertical running)
% seam can be calculated. Input is gradient image found from findEnergy.m.
%
% The index
www.eeworm.com/read/143706/12849510
m demolgd1.m
%DEMOLGD1 Demonstrate simple MLP optimisation with on-line gradient descent
%
% Description
% The problem consists of one input variable X and one target variable
% T with data generated by sampling X
www.eeworm.com/read/315227/13548535
f90 dsrc2c.f90
SUBROUTINE JCG (NN,IA,JA,A,RHS,U,IWKSP,NW,WKSP,IPARM,RPARM,IERR)
!
! ITPACK 2C MAIN SUBROUTINE JCG (JACOBI CONJUGATE GRADIENT)
! EACH OF THE MAIN SUBROUTINES:
!