Mercurial > hg > smallbox
view toolboxes/alps/Report_bibtex.bib @ 216:a986ee86651e luisf_dev
Calls SMALLboxInit in the beginning of both solve and learn, in order not to lose the SMALL_path variable.
author | luisf <luis.figueira@eecs.qmul.ac.uk> |
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date | Thu, 22 Mar 2012 11:41:04 +0000 |
parents | 0de08f68256b |
children |
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@comment{ generated by <http://infoscience.epfl.ch/> } @TechReport{EPFL-REPORT-162761, abstract = {We propose and analyze acceleration schemes for hard thresholding methods with applications to sparse approximation in linear inverse systems. Our acceleration schemes fuse combinatorial, sparse projection algorithms with convex optimization algebra to provide computationally efficient and robust sparse recovery methods. We compare and contrast the (dis)advantages of the proposed schemes with the state-of-the-art, not only within hard thresholding methods, but also within convex sparse recovery algorithms.}, affiliation = {EPFL}, author = {Cevher, Volkan}, details = {http://infoscience.epfl.ch/record/162761}, documenturl = {http://infoscience.epfl.ch/record/162761/files/techreport.pdf}, keywords = {structured sparsity; sparse recovery; hard thresholding}, oai-id = {oai:infoscience.epfl.ch:162761}, oai-set = {report; fulltext; fulltext-public}, status = {PUBLISHED}, submitter = {199128; 199128}, title = {On {A}ccelerated {H}ard {T}hresholding {M}ethods for {S}parse {A}pproximation}, unit = {LIONS}, year = 2011 }