{"id":"https://openalex.org/W2031997296","doi":"https://doi.org/10.1109/icassp.2014.6854682","title":"Robust regularized least squares estimation in the presence of bounded data uncertainties","display_name":"Robust regularized least squares estimation in the presence of bounded data uncertainties","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2031997296","doi":"https://doi.org/10.1109/icassp.2014.6854682","mag":"2031997296"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5061392794","display_name":"N. Denizcan Vanli","orcid":"https://orcid.org/0000-0001-5271-8020"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"N. Denizcan Vanli","raw_affiliation_strings":["Bilkent University, Ankara, Turkey","Bilkent University, Ankara, TURKEY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]},{"raw_affiliation_string":"Bilkent University, Ankara, TURKEY#TAB#","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103267259","display_name":"S\u00fcleyman S. Kozat","orcid":"https://orcid.org/0000-0002-6488-3848"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suleyman S. Kozat","raw_affiliation_strings":["Bilkent University, Ankara, Turkey","Bilkent University, Ankara, TURKEY#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I168864056"]},{"raw_affiliation_string":"Bilkent University, Ankara, TURKEY#TAB#","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072408248","display_name":"Mehmet A. Donmez","orcid":"https://orcid.org/0000-0001-6407-8745"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet A. Donmez","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09254808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5637","last_page":"5640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/regret","display_name":"Regret","score":0.7442638874053955},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7046720385551453},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5997573733329773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5600332021713257},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.553231418132782},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5191428065299988},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5139000415802002},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.47960054874420166},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.467765748500824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4080657362937927},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39684927463531494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3812049627304077},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22300869226455688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11156639456748962}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7442638874053955},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7046720385551453},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5997573733329773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5600332021713257},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.553231418132782},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5191428065299988},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5139000415802002},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.47960054874420166},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.467765748500824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4080657362937927},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39684927463531494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3812049627304077},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22300869226455688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11156639456748962},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1530239534","https://openalex.org/W1987538650","https://openalex.org/W2048679451","https://openalex.org/W2072904618","https://openalex.org/W2088606603","https://openalex.org/W2107467870","https://openalex.org/W2151481501"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4313645560","https://openalex.org/W4299069794","https://openalex.org/W2796380742"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,23,41,48,51,58,75,78,83,95,134],"problem":[3,38],"of":[4,43,50,77],"estimating":[5],"an":[6,14,44],"unknown":[7,15,60],"deterministic":[8,16],"signal":[9],"that":[10,115],"is":[11],"observed":[12],"through":[13],"observation":[17,61,96],"matrix":[18,62,97],"and":[19,39,63,90,98],"additive":[20],"noise":[21],"under":[22],"regularized":[24],"residual":[25],"error":[26],"criterion.":[27],"In":[28],"this":[29,37,103,116],"framework,":[30],"we":[31,100,112],"introduce":[32],"a":[33,106,122],"robust":[34,107],"approach":[35],"to":[36,47,57,73,132],"consider":[40],"performance":[42,49,67],"estimator":[45,55,79],"relative":[46,66],"least":[52],"squares":[53],"(LS)":[54],"tuned":[56],"underlying":[59],"noise.":[64],"This":[65],"measure":[68],"in":[69],"fact":[70],"turns":[71],"out":[72],"be":[74,119],"regret":[76,104],"for":[80],"not":[81],"knowing":[82],"true":[84],"parameters.":[85],"Refraining":[86],"from":[87],"any":[88],"statistical":[89],"structural":[91],"assumptions":[92],"both":[93],"on":[94],"noise,":[99],"then":[101],"minimize":[102],"with":[105],"LS":[108],"estimation":[109],"method,":[110],"where":[111],"also":[113,130],"demonstrate":[114],"method":[117],"can":[118],"cast":[120],"as":[121],"semi-definite":[123],"programming":[124],"(SDP)":[125],"problem.":[126],"Numerical":[127],"examples":[128],"are":[129],"presented":[131],"illustrate":[133],"theoretical":[135],"results.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}