{"id":"https://openalex.org/W1919098463","doi":"https://doi.org/10.1109/isit.2015.7282736","title":"Sequential sensing with model mismatch","display_name":"Sequential sensing with model mismatch","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1919098463","doi":"https://doi.org/10.1109/isit.2015.7282736","mag":"1919098463"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1501.06241","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064006783","display_name":"Ruiyang Song","orcid":"https://orcid.org/0000-0003-2727-8355"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiyang Song","raw_affiliation_strings":["Electronic Engineering, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047736740","display_name":"Yao Xie","orcid":"https://orcid.org/0000-0001-6777-2951"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Xie","raw_affiliation_strings":["Industrial and Systems Engineering, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Industrial and Systems Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043574831","display_name":"Sebastian Pokutta","orcid":"https://orcid.org/0000-0001-7365-3000"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sebastian Pokutta","raw_affiliation_strings":["Industrial and Systems Engineering, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"Industrial and Systems Engineering, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064006783"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06378413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1650","last_page":"1654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9990000128746033,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/estimation-of-covariance-matrices","display_name":"Estimation of covariance matrices","score":0.7178812623023987},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.7042891979217529},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5845175981521606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5714331269264221},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5643925070762634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5514178276062012},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5215322971343994},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.5112533569335938},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4856347143650055},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4494181275367737},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.446735143661499},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.43282434344291687},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41985583305358887},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41909876465797424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36726653575897217},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3315655589103699},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1845577359199524}],"concepts":[{"id":"https://openalex.org/C180877172","wikidata":"https://www.wikidata.org/wiki/Q5401390","display_name":"Estimation of covariance matrices","level":3,"score":0.7178812623023987},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7042891979217529},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5845175981521606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5714331269264221},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5643925070762634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5514178276062012},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5215322971343994},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.5112533569335938},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4856347143650055},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4494181275367737},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.446735143661499},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.43282434344291687},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41985583305358887},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41909876465797424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36726653575897217},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3315655589103699},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1845577359199524},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2015.7282736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1501.06241","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1501.06241","pdf_url":"https://arxiv.org/pdf/1501.06241","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1501.06241","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1501.06241","pdf_url":"https://arxiv.org/pdf/1501.06241","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W658559791","https://openalex.org/W1734908196","https://openalex.org/W1963626748","https://openalex.org/W1968528965","https://openalex.org/W2000535491","https://openalex.org/W2013770351","https://openalex.org/W2019645207","https://openalex.org/W2071284784","https://openalex.org/W2074970519","https://openalex.org/W2087326866","https://openalex.org/W2096971408","https://openalex.org/W2113481141","https://openalex.org/W2133105246","https://openalex.org/W2151131483","https://openalex.org/W2153917141","https://openalex.org/W2154232923","https://openalex.org/W2167404137","https://openalex.org/W2231389133","https://openalex.org/W2543667633","https://openalex.org/W2949920080","https://openalex.org/W2952040794","https://openalex.org/W2953087583","https://openalex.org/W2963213279","https://openalex.org/W2963912585","https://openalex.org/W2963923406","https://openalex.org/W2963928800","https://openalex.org/W3100302110","https://openalex.org/W4302364154"],"related_works":["https://openalex.org/W2040968278","https://openalex.org/W2022823194","https://openalex.org/W2018001152","https://openalex.org/W1987404909","https://openalex.org/W2109377650","https://openalex.org/W2344632425","https://openalex.org/W4311761947","https://openalex.org/W2554071524","https://openalex.org/W4282813214","https://openalex.org/W274661425"],"abstract_inverted_index":{"We":[0,65],"characterize":[1],"the":[2,18,23,39,45,50,55,83,92,100,120],"performance":[3,70],"of":[4,52,54,63,69,82,85,95],"sequential":[5],"information":[6],"guided":[7],"sensing,":[8],"Info-Greedy":[9,117],"Sensing":[10,118],"[1],":[11],"when":[12,72],"there":[13],"is":[14,41,78],"a":[15,29,36,60,67,73],"mismatch":[16],"between":[17],"true":[19],"signal":[20,40,86,102],"model":[21],"and":[22,44],"assumed":[24],"model,":[25],"which":[26],"may":[27],"be":[28],"sample":[30,121],"estimate.":[31],"In":[32],"particular,":[33],"we":[34,108],"consider":[35],"setup":[37],"where":[38],"low-rank":[42],"Gaussian":[43],"measurements":[46],"are":[47],"taken":[48],"in":[49,59,80],"directions":[51],"eigenvectors":[53],"covariance":[56,75,122,128],"matrix":[57,76],"\u03a3":[58],"decreasing":[61],"order":[62],"eigenvalues.":[64],"establish":[66],"set":[68],"bounds":[71],"mismatched":[74],"equation":[77],"used,":[79],"terms":[81],"gap":[84],"posterior":[87],"entropy,":[88],"as":[89,91],"well":[90],"additional":[93],"amount":[94],"power":[96],"required":[97],"to":[98,112],"achieve":[99],"same":[101],"recovery":[103],"precision.":[104],"Based":[105],"on":[106],"this,":[107],"further":[109],"study":[110],"how":[111],"choose":[113],"an":[114,126],"initialization":[115],"for":[116],"using":[119,125],"matrix,":[123],"or":[124],"efficient":[127],"sketching":[129],"scheme.":[130]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}