代码搜索:Regularization
找到约 355 项符合「Regularization」的源代码
代码结果 355
www.eeworm.com/read/179398/9358475
chf cvvoronoidiagramfromimage.chf
int cvVoronoiDiagramFromImage(IplImage* pImage, CvSeq** ContourSeq, CvVoronoiDiagram2D** VoronoiDiagram, CvMemStorage* VoronoiStorage, CvLeeParameters regularization_method, float approx_precision) {
www.eeworm.com/read/130196/5963034
m ls_solve_w.m
function [x,f]=ls_solve_w(A, b, eta, lambda)
% [x,f]=ls_solve_w(A, b, eta, lambda)
%
% solves a weighted Least Squares problem with regularization
% G. Raetsch 1.6.98
% Copyright (c) 1998
www.eeworm.com/read/213880/15123446
cpp pde_tschumperlederiche2d.cpp
/*-----------------------------------------------------------------------------------------
File : pde_TschumperleDeriche2D.cpp
Description : Implementation of the Tschumperle-Deriche's R
www.eeworm.com/read/338293/12314412
pdf hansen2008_regularization tools, a matlab package for analysis and solution of discrete ill-posed problems.pdf
www.eeworm.com/read/372996/9480713
m mtsvd.m
function [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%MTSVD Modified truncated SVD regularization.
%
% [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%
% Computes the modified TSVD solution:
% x_k = V*[ xi_k ] .
%
www.eeworm.com/read/161189/10439639
m mtsvd.m
function [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%MTSVD Modified truncated SVD regularization.
%
% [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%
% Computes the modified TSVD solution:
% x_k = V*[ xi_k ] .
www.eeworm.com/read/418911/10891933
m mtsvd.m
function [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%MTSVD Modified truncated SVD regularization.
%
% [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%
% Computes the modified TSVD solution:
% x_k = V*[ xi_k ] .
%
www.eeworm.com/read/338293/12314468
m mtsvd.m
function [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%MTSVD Modified truncated SVD regularization.
%
% [x_k,rho,eta] = mtsvd(U,s,V,b,k,L)
%
% Computes the modified TSVD solution:
% x_k = V*[ xi_k ] .
%
www.eeworm.com/read/214923/15083071
m democl2.m
clear
close all
grain = 100;
load ripley;
echo on;
% train
gam = 10;
kernel = 'RBF_kernel';
sig2 = 1;
model = initlssvm(X,Y,'classifier',gam,sig2,kernel,'preprocess');
model = trainlssvm(model);
www.eeworm.com/read/213880/15123396
cpp greycstoration4gimp.cpp
/*-----------------------------------------------------------------------------
File : greycstoration4gimp.cpp
Description : GREYCstoration - A tool to denoise, inpaint and resize ima