| function [K K_test]= kernel(X, Y, kernelName, wantK) |
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| if (wantK || strcmp(kernelName,'echi2')==1 || strcmp(kernelName,'emd')==1 || strcmp(kernelName,'rbf')==1) |
| switch kernelName |
| case 'emd' |
| K = emd_dist(X,X); |
| mu= 1 ./ mean(K(:)) ; |
| K = exp(- mu * K) ; |
| case 'echi2' |
| K = alldist2(X, 'chi2') ; |
| mu= 1 ./ mean(K(:)) ; |
| K = exp(- mu * K) ; |
| case 'kl1' |
| K = vl_alldist2(X, 'kl1'); |
| case'kl2' |
| K = X' * X ; |
| case 'kchi2' |
| K = vl_alldist2(X, 'kchi2') ; |
| case 'gb' |
| K = gbDistance(X, X); |
| case 'rbf' |
| X = X'; |
| norm1 = sum(X.^2,2); |
| norm2 = sum(X.^2,2); |
| dist = (repmat(norm1 ,1,size(X,1)) + repmat(norm2',size(X,1),1) - 2*X*X'); |
| mu=sqrt(mean(dist(:))/2); |
| K = exp(-0.5/mu^2 * dist); |
| end |
| if ~isempty(find(isnan(K))) |
| disp('something element is NaN in the K matrix'); |
| K(find(isnan(K)))=10^20; |
| end |
| else |
| K = []; |
| end |
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| switch kernelName |
| case 'emd' |
| K_test = emd_dist(X, Y); |
| K_test = exp(- mu * K_test) ; |
| case 'echi2' |
| K_test = vl_alldist(X, Y, 'chi2') ; |
| K_test = exp(- mu * K_test) ; |
| case 'kl1' |
| K_test = vl_alldist2(X, Y, 'kl1'); |
| case'kl2' |
| K_test = X' * Y ; |
| case 'kchi2' |
| K_test = vl_alldist2(X, Y, 'kchi2') ; |
| case 'gb' |
| K_test = gbDistance(X, Y); |
| case 'rbf' |
| Y = Y'; |
| norm1 = sum(X.^2,2); |
| norm2 = sum(Y.^2,2); |
| dist = (repmat(norm1 ,1,size(Y,1)) + repmat(norm2',size(X,1),1) - 2*X*Y'); |
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| K_test = exp(-0.5/mu^2 * dist); |
| end |
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| if ~isempty(find(isnan(K_test))) |
| disp('something element is NaN in the K_test matrix'); |
| K_test(find(isnan(K_test)))=10^20; |
| end |