{"id":"https://openalex.org/W2610231118","doi":"https://doi.org/10.1109/globalsip.2016.7905836","title":"Efficient learning of dictionaries with low-rank atoms","display_name":"Efficient learning of dictionaries with low-rank atoms","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2610231118","doi":"https://doi.org/10.1109/globalsip.2016.7905836","mag":"2610231118"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7905836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101799762","display_name":"Saiprasad Ravishankar","orcid":"https://orcid.org/0000-0002-5792-5827"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saiprasad Ravishankar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040332761","display_name":"Brian E. Moore","orcid":"https://orcid.org/0000-0001-7914-1794"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian E. Moore","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071117473","display_name":"Raj Rao Nadakuditi","orcid":"https://orcid.org/0000-0002-5506-1631"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raj Rao Nadakuditi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027207271","display_name":"Jeffrey A. Fessler","orcid":"https://orcid.org/0000-0001-9998-3315"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey A. Fessler","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101799762"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":2.1278,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86475666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"222","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8619577288627625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7349239587783813},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6510498523712158},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6103554964065552},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5647591948509216},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5049517750740051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45465636253356934},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4495781362056732},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43749937415122986},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.428214967250824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3550591468811035},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3510655164718628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15926310420036316}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8619577288627625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7349239587783813},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6510498523712158},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6103554964065552},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5647591948509216},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5049517750740051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45465636253356934},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4495781362056732},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43749937415122986},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.428214967250824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3550591468811035},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3510655164718628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15926310420036316},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7905836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1488435683","https://openalex.org/W1976293824","https://openalex.org/W1992405901","https://openalex.org/W2061615939","https://openalex.org/W2061926706","https://openalex.org/W2069390315","https://openalex.org/W2099321050","https://openalex.org/W2106334384","https://openalex.org/W2112447569","https://openalex.org/W2114083954","https://openalex.org/W2114122776","https://openalex.org/W2115429828","https://openalex.org/W2115549875","https://openalex.org/W2119385818","https://openalex.org/W2126534699","https://openalex.org/W2127114523","https://openalex.org/W2143238292","https://openalex.org/W2153663612","https://openalex.org/W2156593994","https://openalex.org/W2160547390","https://openalex.org/W2167188281","https://openalex.org/W2168668658","https://openalex.org/W2168903001","https://openalex.org/W2189938900","https://openalex.org/W2296616510","https://openalex.org/W2406524659","https://openalex.org/W2536599074","https://openalex.org/W2608011385","https://openalex.org/W2963591837","https://openalex.org/W4250955649","https://openalex.org/W6675992869","https://openalex.org/W6676727762","https://openalex.org/W6677446445","https://openalex.org/W6681238269"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W1504109132","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W2244018504","https://openalex.org/W4298074124","https://openalex.org/W2963511616"],"abstract_inverted_index":{"Sparsity-based":[0],"techniques":[1],"have":[2],"been":[3],"popular":[4],"in":[5,8,30,123,129],"many":[6],"applications":[7],"signal":[9,20],"and":[10,39,41,52,132],"image":[11],"processing.":[12],"In":[13,56,68],"particular,":[14,69],"the":[15,24,42,72,76,106,118],"data-driven":[16],"adaptation":[17],"of":[18,75,105,120],"sparse":[19],"models":[21],"such":[22,127],"as":[23,80,128],"synthesis":[25,66],"model":[26,71,93],"has":[27],"shown":[28],"promise":[29],"applications.":[31],"However,":[32],"dictionary":[33,91],"learning":[34,48,64,92],"problems":[35],"are":[36,49],"typically":[37],"nonconvex":[38,112],"NP-hard,":[40],"usual":[43],"alternating":[44],"minimization":[45],"approaches":[46],"for":[47,63,89,109],"often":[50],"expensive":[51],"lack":[53],"convergence":[54,103],"guarantees.":[55],"this":[57],"work,":[58],"we":[59,70],"investigate":[60],"efficient":[61,96],"methods":[62],"structured":[65],"dictionaries.":[67],"atoms":[73],"(columns)":[74],"dictionary,":[77],"after":[78],"reshaping,":[79],"low-rank.":[81],"We":[82,99],"propose":[83],"a":[84,102,110],"block":[85],"coordinate":[86],"descent":[87],"algorithm":[88],"our":[90,121],"that":[94],"involves":[95],"optimal":[97],"updates.":[98],"also":[100],"provide":[101],"analysis":[104],"proposed":[107],"method":[108],"highly":[111],"problem.":[113],"Our":[114],"numerical":[115],"experiments":[116],"show":[117],"usefulness":[119],"schemes":[122],"inverse":[124],"problem":[125],"settings,":[126],"dynamic":[130],"MRI":[131],"inpainting.":[133]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
