{"id":"https://openalex.org/W4401693595","doi":"https://doi.org/10.1109/isit57864.2024.10619312","title":"Large Deviations for Statistical Sequence Matching","display_name":"Large Deviations for Statistical Sequence Matching","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4401693595","doi":"https://doi.org/10.1109/isit57864.2024.10619312"},"language":"en","primary_location":{"id":"doi:10.1109/isit57864.2024.10619312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","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/A5061776746","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0002-5173-320X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027720270","display_name":"Qianyun Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyun Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594304","display_name":"Jingjing Wang","orcid":"https://orcid.org/0009-0001-5376-8836"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072780525","display_name":"Lin Bai","orcid":"https://orcid.org/0000-0001-5705-0912"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Bai","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692655","display_name":"Alfred O. Hero","orcid":"https://orcid.org/0000-0002-2531-9670"},"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":"Alfred Hero","raw_affiliation_strings":["University of Michigan,Department of EECS,Ann Arbor"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of EECS,Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061776746"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.7501,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69102688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1275","last_page":"1280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sequence","display_name":"Sequence (biology)","score":0.6575732231140137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6172776222229004},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5360185503959656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41142538189888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39136573672294617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21448424458503723},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21304747462272644}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6575732231140137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6172776222229004},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5360185503959656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41142538189888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39136573672294617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21448424458503723},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21304747462272644},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit57864.2024.10619312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6233480831","display_name":null,"funder_award_id":"62201022,U22B2008,62222101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,82],"revisit":[1],"the":[2,33,38,53,59,66,76,79,84,91,94,110,117,125,159],"problem":[3,118,126],"of":[4,11,40,43,61,69,100,109,119,127,144,174],"statistical":[5,120],"sequence":[6,121,161],"matching":[7,122],"between":[8,45,75],"two":[9,46,80,111],"databases":[10,47,112],"sequences":[12,44,70,77],"initiated":[13],"by":[14,86,131,157],"Unnikrishnan":[15,87],"(TIT":[16,133,146],"2015)":[17],"and":[18,64,88,104,148,151,154],"derive":[19],"achievable":[20],"theoretical":[21],"performance":[22],"guar-antees":[23],"for":[24,98],"a":[25,114,166],"generalized":[26],"likelihood":[27],"ratio":[28],"test":[29],"(G":[30],"LRT)":[31],"in":[32,78],"large":[34],"deviations":[35],"regime,":[36],"when":[37],"number":[39,60],"matched":[41,62,67],"pairs":[42,63,68],"is":[48,55,169],"unknown.":[49],"In":[50],"this":[51,136],"case,":[52,138],"task":[54],"to":[56,124,162],"accurately":[57],"estimate":[58],"identify":[65],"among":[71,93],"all":[72,175],"possible":[73],"matches":[74],"databases.":[81],"generalize":[83],"GLRT":[85],"explicitly":[89],"characterize":[90],"tradeoff":[92],"exponential":[95],"decay":[96],"rates":[97],"probabilities":[99],"mismatch,":[101],"false":[102,105],"reject":[103],"alarm.":[106],"When":[107],"one":[108],"contains":[113],"single":[115],"sequence,":[116],"specializes":[123],"multiple":[128],"classification":[129],"introduced":[130],"Gutman":[132,145],"1989).":[134],"For":[135],"special":[137],"our":[139],"result":[140,143],"strengthens":[141],"previous":[142],"1989)":[147],"Zhou,":[149],"Tan":[150],"Motani":[152],"(Information":[153],"Inference":[155],"2020)":[156],"allowing":[158],"testing":[160],"be":[163],"generated":[164],"from":[165,171],"distribution":[167],"that":[168],"different":[170],"generating":[172],"distributions":[173],"training":[176],"sequences.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
