代码搜索：Matrices

找到约 3,616 项符合「Matrices」的源代码

代码结果 3,616
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www.eeworm.com/read/245176/12813316

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
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www.eeworm.com/read/244597/12854074

dat matrx3.dat

FILE OF MATRICES FOR SVDCMP: Number of Rows, Columns 5 3 Matrix 1.0 2.0 3.0 2.0 3.0 4.0 3.0 4.0 5.0 4.0 5.0 6.0 5.0 6.0 7.0 NEXT PROBLEM: Number of Rows, Columns 5 5 Matrix 1.0 2.0 3.0 4.
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www.eeworm.com/read/140850/13059536

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a Gaussian radial basis kernel, for example % % K = evaluate(kernel, x1, x2); % % where x1 and x2 are matrices containing input p
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www.eeworm.com/read/140850/13059645

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
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www.eeworm.com/read/140665/13068787

dat matrx3.dat

FILE OF MATRICES FOR SVDCMP: Number of Rows, Columns 5 3 Matrix 1.0 2.0 3.0 2.0 3.0 4.0 3.0 4.0 5.0 4.0 5.0 6.0 5.0 6.0 7.0 NEXT PROBLEM: Number of Rows, Columns 5 5 Matrix 1.0 2.0 3.0 4.
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www.eeworm.com/read/312211/13615717

dat matrx3.dat

FILE OF MATRICES FOR SVDCMP: Number of Rows, Columns 5 3 Matrix 1.0 2.0 3.0 2.0 3.0 4.0 3.0 4.0 5.0 4.0 5.0 6.0 5.0 6.0 7.0 NEXT PROBLEM: Number of Rows, Columns 5 5 Matrix 1.0 2.0 3.0 4.
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www.eeworm.com/read/130130/5963866

m cornerfinder.m

function [xc,good,bad,type] = cornerfinder(xt,I,wintx,winty,wx2,wy2); %[xc] = cornerfinder(xt,I); % %Finds the sub-pixel corners on the image I with initial guess xt %xt and xc are 2xN matrices.
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www.eeworm.com/read/128684/5980336

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a Gaussian radial basis kernel, for example % % K = evaluate(kernel, x1, x2); % % where x1 and x2 are matrices containing input p
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www.eeworm.com/read/128684/5980367

m evaluate.m

function K = evaluate(ker, x1, x2) % EVALUATE % % Evaluate a linear kernel, for example % % K = evaluate(ker, x1, x2); % % where x1 and x2 are matrices containing input patterns, where ea
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www.eeworm.com/read/126430/6017536

dat matrx3.dat

FILE OF MATRICES FOR SVDCMP: Number of Rows, Columns 5 3 Matrix 1.0 2.0 3.0 2.0 3.0 4.0 3.0 4.0 5.0 4.0 5.0 6.0 5.0 6.0 7.0 NEXT PROBLEM: Number of Rows, Columns 5 5 Matrix 1.0 2.0 3.0 4.
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