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annotate toolboxes/distance_learning/mlr/regularize/regularizeMKLDiag.m @ 0:e9a9cd732c1e tip

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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function r = regularizeMKLDiag(W, X, gradient)
wolffd@0 2 %
wolffd@0 3 % r = regularizeMKL(W, X, gradient)
wolffd@0 4 %
wolffd@0 5 %
wolffd@0 6
wolffd@0 7 [d,n,m] = size(X);
wolffd@0 8
wolffd@0 9 if gradient
wolffd@0 10 r = zeros(d,m);
wolffd@0 11 for i = 1:m
wolffd@0 12 r(:,i) = diag(X(:,:,i));
wolffd@0 13 end
wolffd@0 14 else
wolffd@0 15 r = 0;
wolffd@0 16 for i = 1:m
wolffd@0 17 r = r + W(:,i)' * diag(X(:,:,i));
wolffd@0 18 end
wolffd@0 19 end
wolffd@0 20 end