how to use quadratic and polynomial kernel in svmtrain..?

how to make support vector with this kernel..? here it is my code with quadratic. when i run it, it's work BUT my support vector result is 0..

function NET = trainnet(IMGDB)

options = optimset('maxiter',100000);

load IMGDB; T = cell2mat(IMGDB(2,:)); P = cell2mat(IMGDB(3,:));

net = svmtrain(P',T','Kernel_Function','quadratic','Polyorder',2,'quadprog_opts',options);

fprintf('Number of Support Vectors: %d\n',size(net.SupportVectors,1)); classes = svmclassify(net,P'); fprintf('done. %d \n',sum(abs(classes-T'))); save net net NET = net;