代码搜索：gradient

找到约 2,951 项符合「gradient」的源代码

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m gvf_ex.m

% EXAMPLE GVF snake examples on two simulated object boundaries. % % NOTE: % % traditional snake and distance snake differed from GVF snake only % by using different external force field
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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/234214/14119085

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/130383/14196222

m gradlbfixed.m

function [grad] = gradlbfixed(Sigma,indsup,Alpsup,w0,C,Xapp,yapp,pow); %GRADLBFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADLBFIXED(SIGMA,INDSUP,ALPSUP,W0,C,X
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www.eeworm.com/read/130383/14196226

m gradlfixed.m

function [grad] = gradlfixed(Sigma,indsup,Alpsup,C,Xapp,yapp,pow); %GRADLFIXED Computes the gradient of an upper bound on SVM loss wrt SIGMA^POW % GRAD = GRADLFIXED(SIGMA,INDSUP,ALPSUP,C,XAPP,YAPP,
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www.eeworm.com/read/230549/14281898

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/227183/14438490

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/119820/14820202

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/119281/14834587

m gazbgradeval.m

function [nsol, val] = gaZBGradEval(sol,options) % This evaluation function takes in a potential solution and two options % options(3) is the percent of time to perform the gradient heuristic to the
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www.eeworm.com/read/220289/14843739

m demgpot.m

function g = demgpot(x, mix) %DEMGPOT Computes the gradient of the negative log likelihood for a mixture model. % % Description % This function computes the gradient of the negative log of the % uncon
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