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/397111/8067105

m gauss_dd.m

%GAUSS_DD Gaussian data description. % % W = gauss_dd(A,fracrej,r) % % Fit a Gaussian density on dataset A. If requested, the r can be % given to add some regularization to the estimated covar
www.eeworm.com/read/397097/8069113

m gauss_dd.m

%GAUSS_DD Gaussian data description. % % W = gauss_dd(A,fracrej,r) % % Fit a Gaussian density on dataset A. If requested, the r can be % given to add some regularization to the estimated covar
www.eeworm.com/read/137160/13342247

m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
www.eeworm.com/read/314653/13562508

m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
www.eeworm.com/read/493294/6399913

m gauss_dd.m

%GAUSS_DD Gaussian data description. % % W = gauss_dd(A,fracrej,r) % % Fit a Gaussian density on dataset A. If requested, the r can be % given to add some regularization to the estimated covar
www.eeworm.com/read/493294/6400241

m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
www.eeworm.com/read/492400/6422215

m gauss_dd.m

%GAUSS_DD Gaussian data description. % % W = gauss_dd(A,fracrej,r) % % Fit a Gaussian density on dataset A. If requested, the r can be % given to add some regularization to the estimated covar
www.eeworm.com/read/483525/6598431

m main.m

% MAIN % ==== % Load original picture : %load text; A=imread('Fig2.22(a).jpg'); % Bluring KERNEL : kernel=ones(3)./9; % Regularization kernel LAPLASIAN : laplasian=[0 -.25 0 ; -.25 1 -.25
www.eeworm.com/read/400577/11572971

m quadrc.m

%QUADRC Quadratic Discriminant Classifier % % W = QUADRC(A,R,S) % % INPUT % A Dataset % R,S 0
www.eeworm.com/read/400576/11573469

m gauss_dd.m

%GAUSS_DD Gaussian data description. % % W = gauss_dd(A,fracrej,r) % % Fit a Gaussian density on dataset A. If requested, the r can be % given to add some regularization to the estimated covar