{"id":"https://openalex.org/W2000888362","doi":"https://doi.org/10.1109/tsp.2013.2250967","title":"Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators","display_name":"Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators","publication_year":2013,"publication_date":"2013-04-23","ids":{"openalex":"https://openalex.org/W2000888362","doi":"https://doi.org/10.1109/tsp.2013.2250967","mag":"2000888362"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2013.2250967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2250967","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00691774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048194682","display_name":"Matthieu Kowalski","orcid":"https://orcid.org/0000-0002-9981-237X"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Kowalski","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e8mes, UMR 8506, CNRS-SUPELEC-Univ Paris-Sud, Gif sur Yvette, France","[Laboratoire des Signaux et Syst\u00e8mes, UMR 8506 CNRS-SUPELEC-Univ Paris-Sud, Gif-sur-Yvette Cedex, France]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8mes, UMR 8506, CNRS-SUPELEC-Univ Paris-Sud, Gif sur Yvette, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"[Laboratoire des Signaux et Syst\u00e8mes, UMR 8506 CNRS-SUPELEC-Univ Paris-Sud, Gif-sur-Yvette Cedex, France]","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056846462","display_name":"Kai Siedenburg","orcid":"https://orcid.org/0000-0002-7360-4249"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kai Siedenburg","raw_affiliation_strings":["Schulich School of Music, McGill University, Montreal, Canada","Schulich School of Music, McGill University, Montr\u00e9al, Canada#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Schulich School of Music, McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Schulich School of Music, McGill University, Montr\u00e9al, Canada#TAB#","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056178266","display_name":"Monika D\u00f6rfler","orcid":"https://orcid.org/0000-0001-6139-630X"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Monika Dorfler","raw_affiliation_strings":["Numerical Harmonic Analysis Group, Faculty of Mathematics, University of Vienna, Wien, Austria","[Numerical Harmonic Analysis Group, Faculty of Mathematics, University of Vienna, Wien, Austria]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Numerical Harmonic Analysis Group, Faculty of Mathematics, University of Vienna, Wien, Austria","institution_ids":["https://openalex.org/I129774422"]},{"raw_affiliation_string":"[Numerical Harmonic Analysis Group, Faculty of Mathematics, University of Vienna, Wien, Austria]","institution_ids":["https://openalex.org/I129774422"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.2872,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98953483,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"61","issue":"10","first_page":"2498","last_page":"2511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12100","display_name":"Advanced Mathematical Modeling in Engineering","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.7673941254615784},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7669256925582886},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.7190502285957336},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5585863590240479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5470739603042603},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.52374267578125},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5228101015090942},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42130231857299805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40316933393478394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.394262433052063},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3818073570728302},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33765384554862976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27502763271331787},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1286030411720276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0958021879196167}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.7673941254615784},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7669256925582886},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.7190502285957336},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5585863590240479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5470739603042603},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.52374267578125},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5228101015090942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42130231857299805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40316933393478394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.394262433052063},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3818073570728302},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33765384554862976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27502763271331787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1286030411720276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0958021879196167},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2013.2250967","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2250967","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.9122","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.9122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/82/17/23/PDF/KSD_SocialSparsity.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00691774v3","is_oa":true,"landing_page_url":"https://hal.science/hal-00691774","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2013, 61 (10), pp.2498 - 2511. &#x27E8;10.1109/TSP.2013.2250967&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00691774v3","is_oa":true,"landing_page_url":"https://hal.science/hal-00691774","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2013, 61 (10), pp.2498 - 2511. &#x27E8;10.1109/TSP.2013.2250967&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8327797433","display_name":"Audio-Miner. Mathematical Signal Analysis and Modeling for Manipulation of Sound Objects","funder_award_id":"MA09-024","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320321003","display_name":"Vienna Science and Technology Fund","ror":"https://ror.org/01f9mc681"},{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1492854490","https://openalex.org/W1539012881","https://openalex.org/W1575567117","https://openalex.org/W1608708575","https://openalex.org/W1872237652","https://openalex.org/W1953936588","https://openalex.org/W1962147060","https://openalex.org/W1970304186","https://openalex.org/W1970554427","https://openalex.org/W1984568490","https://openalex.org/W1986931325","https://openalex.org/W1999905919","https://openalex.org/W2006262045","https://openalex.org/W2007054383","https://openalex.org/W2007927352","https://openalex.org/W2012384441","https://openalex.org/W2029039148","https://openalex.org/W2049709948","https://openalex.org/W2053691921","https://openalex.org/W2054110507","https://openalex.org/W2074214991","https://openalex.org/W2098110139","https://openalex.org/W2100556411","https://openalex.org/W2101868363","https://openalex.org/W2107844156","https://openalex.org/W2108687351","https://openalex.org/W2110505738","https://openalex.org/W2111493103","https://openalex.org/W2115388399","https://openalex.org/W2115706991","https://openalex.org/W2119122547","https://openalex.org/W2119330592","https://openalex.org/W2121744457","https://openalex.org/W2122825543","https://openalex.org/W2122882747","https://openalex.org/W2124682210","https://openalex.org/W2125680629","https://openalex.org/W2126976013","https://openalex.org/W2130698040","https://openalex.org/W2134402116","https://openalex.org/W2135046866","https://openalex.org/W2136235822","https://openalex.org/W2138019504","https://openalex.org/W2144567071","https://openalex.org/W2147656689","https://openalex.org/W2150979613","https://openalex.org/W2162409952","https://openalex.org/W2163398148","https://openalex.org/W2274049380","https://openalex.org/W2293576742","https://openalex.org/W2326722493","https://openalex.org/W2606098075","https://openalex.org/W2616052791","https://openalex.org/W3100906318","https://openalex.org/W3125735862","https://openalex.org/W4285719527","https://openalex.org/W4393203632","https://openalex.org/W6632282575","https://openalex.org/W6634632683","https://openalex.org/W6636220638","https://openalex.org/W6639278696","https://openalex.org/W6653316686","https://openalex.org/W6676634215","https://openalex.org/W6677598287","https://openalex.org/W6681129735","https://openalex.org/W6694424486","https://openalex.org/W6701253912","https://openalex.org/W6843107122","https://openalex.org/W7066151503"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2765453142","https://openalex.org/W2356780078","https://openalex.org/W2356008845","https://openalex.org/W255134961","https://openalex.org/W2348314720","https://openalex.org/W2243547089","https://openalex.org/W2316482937","https://openalex.org/W2253986335","https://openalex.org/W2768912651"],"abstract_inverted_index":{"Sparse":[0],"and":[1,27,42,51,66,80,92,103],"structured":[2,39,46],"signal":[3],"expansions":[4],"on":[5,100],"dictionaries":[6],"can":[7],"be":[8],"obtained":[9],"through":[10],"explicit":[11],"modeling":[12],"in":[13,24,61,82],"the":[14,20,25,28,52,62,69,107],"coefficient":[15,63],"domain.":[16],"The":[17,74],"originality":[18],"of":[19,30,71,109],"present":[21],"article":[22],"lies":[23],"construction":[26],"study":[29],"generalized":[31],"shrinkage":[32],"operators,":[33],"whose":[34],"goal":[35],"is":[36,96],"to":[37,45,68],"identify":[38],"significance":[40],"maps":[41],"give":[43],"rise":[44],"thresholding.":[47],"These":[48],"generalize":[49],"Group-Lasso":[50],"previously":[53],"introduced":[54],"Elitist":[55],"Lasso":[56],"by":[57],"introducing":[58],"more":[59],"flexibility":[60],"domain":[64],"modeling,":[65],"lead":[67],"notion":[70],"social":[72],"sparsity.":[73],"proposed":[75],"operators":[76,91],"are":[77],"studied":[78],"theoretically":[79],"embedded":[81],"iterative":[83],"thresholding":[84],"algorithms.":[85],"Moreover,":[86],"a":[87,93],"link":[88],"between":[89],"these":[90],"convex":[94],"functional":[95],"established.":[97],"Numerical":[98],"studies":[99],"both":[101],"simulated":[102],"real":[104],"signals":[105],"confirm":[106],"benefits":[108],"such":[110],"an":[111],"approach.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
