{"id":"https://openalex.org/W2964096245","doi":"https://doi.org/10.1109/icassp.2016.7472479","title":"Universal outlying sequence detection for continuous observations","display_name":"Universal outlying sequence detection for continuous observations","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2964096245","doi":"https://doi.org/10.1109/icassp.2016.7472479","mag":"2964096245"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5007990317","display_name":"Yuheng Bu","orcid":"https://orcid.org/0000-0002-3479-4553"},"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":true,"raw_author_name":"Yuheng Bu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012545205","display_name":"Shaofeng Zou","orcid":"https://orcid.org/0000-0002-2821-6941"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaofeng Zou","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384384","display_name":"Yingbin Liang","orcid":"https://orcid.org/0000-0003-2631-4262"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingbin Liang","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067089715","display_name":"Venugopal V. Veeravalli","orcid":"https://orcid.org/0000-0001-5490-0037"},"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":"Venugopal V. Veeravalli","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007990317"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":3.4278,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93970801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"4254","last_page":"4258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.8385432958602905},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7419222593307495},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.7380544543266296},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.7067601680755615},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6560824513435364},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6448892951011658},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6237245202064514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6079803109169006},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.42468297481536865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41724690794944763},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4052749574184418},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3597243130207062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3116694688796997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2622590959072113},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.15190723538398743},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.093361496925354},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07658877968788147}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.8385432958602905},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7419222593307495},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.7380544543266296},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.7067601680755615},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6560824513435364},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6448892951011658},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6237245202064514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6079803109169006},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.42468297481536865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41724690794944763},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4052749574184418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3597243130207062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3116694688796997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2622590959072113},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.15190723538398743},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.093361496925354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07658877968788147},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1602011302","https://openalex.org/W1977862970","https://openalex.org/W2015425837","https://openalex.org/W2019645207","https://openalex.org/W2053321475","https://openalex.org/W2112142266","https://openalex.org/W2122646361","https://openalex.org/W2124331852","https://openalex.org/W2149268774","https://openalex.org/W2158885806","https://openalex.org/W2166205892","https://openalex.org/W2166944917","https://openalex.org/W2212660284","https://openalex.org/W2557212196","https://openalex.org/W2950476412","https://openalex.org/W2964096245","https://openalex.org/W6609998551","https://openalex.org/W6654112610","https://openalex.org/W6678421882","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2105321464","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W2887774187","https://openalex.org/W3107369729","https://openalex.org/W2388220555","https://openalex.org/W3048739257"],"abstract_inverted_index":{"The":[0,124,142],"following":[1],"detection":[2,137,143],"problem":[3,162],"is":[4,55,70,92,95,139,151,182],"studied,":[5],"in":[6,175],"which":[7,16,54,176],"there":[8],"are":[9,121,189],"M":[10],"sequences":[11],"of":[12,15,126,145,155,169],"samples":[13],"out":[14],"one":[17],"outlier":[18,43,51,136],"sequence":[19,26,44],"needs":[20],"to":[21,72,97,99],"be":[22],"detected.":[23],"Each":[24],"typical":[25],"contains":[27,45],"n":[28,46],"independent":[29],"and":[30,41,81,94,119],"identically":[31],"distributed":[32],"(i.i.d.)":[33],"continuous":[34],"observations":[35,48],"from":[36,49,57],"a":[37,128,156],"known":[38,79],"distribution":[39,52],"\u03c0,":[40],"the":[42,74,106,135,146,165,177,185],"i.i.d.":[47],"an":[50],"\u03bc,":[53],"distinct":[56],"n,":[58],"but":[59],"otherwise":[60],"unknown.":[61],"A":[62,84],"universal":[63],"test":[64,138,150,159,181,188],"based":[65,88,149,163,180,187],"on":[66,89,164],"Kullback-Leibler":[67],"(KL)":[68],"divergence":[69,86,130,148,179],"built":[71],"approximate":[73],"maximum":[75,170],"likelihood":[76],"test,":[77],"with":[78,153],"\u03c0":[80],"unknown":[82],"\u03bc.":[83],"KL":[85,129,147,178],"estimator":[87,131],"data-dependent":[90],"partitions":[91],"employed,":[93],"shown":[96],"converge":[98],"its":[100],"true":[101],"value":[102],"exponentially":[103,140],"fast":[104],"when":[105],"density":[107],"ratio":[108],"satisfies":[109],"0":[110],"<;":[111],"Kl":[112],"\u2264":[113,115],"d\u03bc/d\u03c0":[114],"K2,":[116],"where":[117],"K1":[118],"K2":[120],"positive":[122],"constants.":[123],"performance":[125,144],"such":[127],"further":[132],"implies":[133],"that":[134,154],"consistent.":[141],"compared":[152],"recently":[157],"introduced":[158],"for":[160],"this":[161],"machine":[166],"learning":[167],"approach":[168],"mean":[171],"discrepancy":[172],"(MMD).":[173],"Regimes":[174],"better":[183],"than":[184],"MMD":[186],"identified.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}