Mercurial > hg > smallbox
changeset 214:b9b4dc87f1aa luisf_dev
Additional help comments in ~/DL/Majorization Minimization DL/wrapper_mm_DL.m.
author | Aris Gretsistas <aris.gretsistas@elec.qmul.ac.uk> |
---|---|
date | Wed, 21 Mar 2012 18:27:23 +0000 |
parents | 0c7c20f3246c |
children | f0552f962930 |
files | DL/Majorization Minimization DL/wrapper_mm_DL.m |
diffstat | 1 files changed, 8 insertions(+), 3 deletions(-) [+] |
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--- a/DL/Majorization Minimization DL/wrapper_mm_DL.m Wed Mar 21 17:48:39 2012 +0000 +++ b/DL/Majorization Minimization DL/wrapper_mm_DL.m Wed Mar 21 18:27:23 2012 +0000 @@ -6,9 +6,9 @@ % In Problem structure field b with the training set needs to be defined. -% In DL fields with name of the Dictionary update method and parameters -% for particular dictionary learning technique need to be present. For -% the orignal version of MM algorithm the update method should be: +% In DL structure field with name of the Dictionary update method needs +% to be present. For the orignal version of MM algorithm the update +% method should be: % - 'mm_cn' - Regularized DL with column norm contraint % - 'mm_fn' - Regularized DL with Frobenius norm contraint % Alternatively, for comparison purposes the following Dictioanry update @@ -17,6 +17,11 @@ % - 'mod_cn' - Method of Optimized Direction % - 'map-cn' - Maximum a Posteriory Dictionary update % - 'ksvd-cn'- KSVD update +% +% DL.param.solver structure is also required. For the original version of +% MM algorithm, DL.param.solver.toolbox should be 'MMbox'. The parameters +% in DL.param.solver.param should be set accordingly. Type help +% wrapper_mm_solver for more details. % % - MM-DL - Yaghoobi, M.; Blumensath, T,; Davies M.; , "Dictionary % Learning for Sparse Approximation with Majorization Method," IEEE