Mercurial > hg > smallbox
annotate DL/Majorization Minimization DL/ExactDicoRecovery/mapfn.m @ 155:b14209313ba4 ivand_dev
Integration of Majorization Minimisation Dictionary Learning
author | Ivan Damnjanovic lnx <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Mon, 22 Aug 2011 11:46:35 +0100 |
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rev | line source |
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ivan@155 | 1 %% Maximum A Posteriori Dictionary Learning with the constraint on the column norms %%%%% |
ivan@155 | 2 function [Phiout,unhatnz] = mapfn(Phi,x,unhat,mu,maxIT,eps,phim,res) |
ivan@155 | 3 K = Phi; |
ivan@155 | 4 B = zeros(size(Phi,1),size(Phi,2)); |
ivan@155 | 5 i = 1; |
ivan@155 | 6 while (sum(sum((B-K).^2))>eps)&&(i<=maxIT) |
ivan@155 | 7 B = K; |
ivan@155 | 8 E = x-K*unhat; |
ivan@155 | 9 K = K+mu*(phim*E*unhat'-trace(unhat*E'*K)*K); |
ivan@155 | 10 i = i+1; |
ivan@155 | 11 end |
ivan@155 | 12 %%% depleted atoms cancellation %%% |
ivan@155 | 13 [Y,I] = sort(sum(K.^2),'descend'); |
ivan@155 | 14 RR = phim; |
ivan@155 | 15 Phiout = K(:,I(1:RR)); |
ivan@155 | 16 unhatnz = unhat(I(1:RR),:); |