Error using custom RBF Kernel

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Louis
Louis 2014-5-5
I am using a rbf kernel:
function G = myrbfgauss(U,V)
sigma=1.5;
Xny = U-V;
Normxny = Xny'*Xny;
G = exp(-Normxny/(2*sigma^3));
end
With the Matlab example code found on the Machine Learning/Concepts/SVM help file under "Train SVM Classifiers Using a Custom Kernel". I replace the example's sigmoid kernel with the rbf code above and get the following error:
Error using solve Function myrbfgauss errors with the following message: Matrix dimensions must agree.
Can someone please help?

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