代码搜索：Regularization

找到约 355 项符合「Regularization」的源代码

代码结果 355
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www.eeworm.com/read/234502/14110975

m gvf.m

function [u,v] = GVF(f, mu, ITER) %GVF Compute gradient vector flow. % [u,v] = GVF(f, mu, ITER) computes the % GVF of an edge map f. mu is the GVF regularization coefficient % and ITER is the n
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www.eeworm.com/read/130383/14196213

m rnval.m

function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T); % USAGE % y=rnval(xapp,xtest,kernel,kerneloption,c,d,T); % % y= K*c+ T*d % calculates the output y of a Regularization netwo
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www.eeworm.com/read/13911/287159

m rnval.m

function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T); % USAGE % y=rnval(xapp,xtest,kernel,kerneloption,c,d,T); % % y= K*c+ T*d % calculates the output y of a Regularization netwo
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www.eeworm.com/read/295595/8150680

m rnval.m

function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T); % USAGE % y=rnval(xapp,xtest,kernel,kerneloption,c,d,T); % % y= K*c+ T*d % calculates the output y of a Regularization netwo
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www.eeworm.com/read/393865/8257716

m rnval.m

function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T); % USAGE % y=rnval(xapp,xtest,kernel,kerneloption,c,d,T); % % y= K*c+ T*d % calculates the output y of a Regularization netwo
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www.eeworm.com/read/113576/15453045

m rnval.m

function y=rnval(xapp,xtest,kernel,kerneloption,c,d, T); % USAGE % y=rnval(xapp,xtest,kernel,kerneloption,c,d,T); % % y= K*c+ T*d % calculates the output y of a Regularization netwo
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www.eeworm.com/read/387560/8665245

m epl_em_sparse_test.m

% epl_em_sparse_test.m % Script to test epl_em_sparse with phantom % % Parameters: % beta - multiplicative factor of norm regularization term % norm - ell-0 or ell-1 norm % gammaj - value to make eac
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www.eeworm.com/read/325480/3483477

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
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www.eeworm.com/read/299717/3851105

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
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www.eeworm.com/read/297947/7984374

m perform_tv_hilbert_projection.m

function [u,v,px,py] = perform_tv_hilbert_projection(f,kernel,lam,options) % Aujol & Chambolle projection for solving TV-K regularization % % [u,v,px,py] = perform_tv_hilbert_projection(f,kernel,la
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