{"id":"https://openalex.org/W3084632828","doi":"https://doi.org/10.1109/tpami.2020.3023092","title":"Active Surveillance via Group Sparse Bayesian Learning","display_name":"Active Surveillance via Group Sparse Bayesian Learning","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3084632828","doi":"https://doi.org/10.1109/tpami.2020.3023092","mag":"3084632828","pmid":"https://pubmed.ncbi.nlm.nih.gov/32915724"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2020.3023092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3023092","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5034184056","display_name":"Hongbin Pei","orcid":"https://orcid.org/0000-0002-7157-9959"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Pei","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, Jilin University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-7157-9959","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028694889","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0003-1927-8419"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, Jilin University, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0003-1927-8419","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineer, Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114376575","display_name":"Jiming Liu","orcid":"https://orcid.org/0000-0003-1798-5021"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiming Liu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-1798-5021","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101880377","display_name":"Kevin Chen\u2013Chuan Chang","orcid":"https://orcid.org/0000-0003-0997-6803"},"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":"Kevin Chen-Chuan Chang","raw_affiliation_strings":["Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0997-6803","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7689,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96139771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"44","issue":"3","first_page":"1133","last_page":"1148"},"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":0.9973999857902527,"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"}},"topics":[{"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":0.9968000054359436,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.8043413758277893},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6474959254264832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6152524352073669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603312075138092},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5232433676719666},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5058259963989258},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4983854293823242},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4632939100265503},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4407438039779663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043413758277893},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6474959254264832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6152524352073669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603312075138092},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5232433676719666},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5058259963989258},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4983854293823242},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4632939100265503},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4407438039779663},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2020.3023092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2020.3023092","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:32915724","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32915724","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1783126079","display_name":null,"funder_award_id":"61876069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1952396377","display_name":null,"funder_award_id":"20200201036JC","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"},{"id":"https://openalex.org/G2716193700","display_name":null,"funder_award_id":"094013","funder_id":"https://openalex.org/F4320316831","funder_display_name":"Futurewei Technologies"},{"id":"https://openalex.org/G3668672548","display_name":null,"funder_award_id":"083650","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G5190785519","display_name":null,"funder_award_id":"HF2017060011","funder_id":"https://openalex.org/F4320316831","funder_display_name":"Futurewei Technologies"},{"id":"https://openalex.org/G7304527097","display_name":null,"funder_award_id":"IIS 16-33755","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7716327847","display_name":null,"funder_award_id":"IIS 16-19302","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8215352115","display_name":null,"funder_award_id":"201806170202","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320316786","display_name":"Center for Cognitive Computing Systems Research","ror":null},{"id":"https://openalex.org/F4320316831","display_name":"Futurewei Technologies","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1687080872","https://openalex.org/W1968074311","https://openalex.org/W1971402834","https://openalex.org/W1985690171","https://openalex.org/W1986583171","https://openalex.org/W1987484735","https://openalex.org/W1991094623","https://openalex.org/W1996816151","https://openalex.org/W2008675681","https://openalex.org/W2021774297","https://openalex.org/W2026726507","https://openalex.org/W2033419225","https://openalex.org/W2050079552","https://openalex.org/W2061598070","https://openalex.org/W2079838248","https://openalex.org/W2100729440","https://openalex.org/W2105400363","https://openalex.org/W2106398669","https://openalex.org/W2106444345","https://openalex.org/W2117216900","https://openalex.org/W2120493500","https://openalex.org/W2123499070","https://openalex.org/W2126104352","https://openalex.org/W2139474775","https://openalex.org/W2140529724","https://openalex.org/W2143022286","https://openalex.org/W2146000945","https://openalex.org/W2152279006","https://openalex.org/W2160798840","https://openalex.org/W2162404471","https://openalex.org/W2169207653","https://openalex.org/W2239232218","https://openalex.org/W2312416461","https://openalex.org/W2517601761","https://openalex.org/W2686306198","https://openalex.org/W2766245992","https://openalex.org/W2773240666","https://openalex.org/W2787743626","https://openalex.org/W2911546748","https://openalex.org/W2913384339","https://openalex.org/W2918728295","https://openalex.org/W3003506411","https://openalex.org/W3142845206","https://openalex.org/W4211049957","https://openalex.org/W4212863985","https://openalex.org/W6652663786","https://openalex.org/W6679608865","https://openalex.org/W6680890718","https://openalex.org/W6746935261"],"related_works":["https://openalex.org/W1964038743","https://openalex.org/W2389214306","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W1966557338","https://openalex.org/W2366931106"],"abstract_inverted_index":{"The":[0,212],"key":[1,117],"to":[2,37,46,62,81,114,161,181],"the":[3,22,30,56,83,93,108,116,137,151,168,173,182,197,223],"effective":[4],"control":[5],"of":[6,24,51,58,85,95,97,121,136,170,175,184,199],"a":[7,39,53,64,86,105,123,127,133,142,185],"diffusion":[8,89,193],"system":[9,90,188],"lies":[10],"in":[11,29,172],"how":[12],"accurately":[13],"we":[14,79,103,140,165],"could":[15,190],"predict":[16,82],"its":[17,25,98],"unfolding":[18],"dynamics":[19,84],"based":[20,91],"on":[21,92],"observation":[23,44],"current":[26],"state.":[27],"However,":[28],"real-world":[31,210],"applications,":[32],"it":[33,203],"is":[34,61],"often":[35],"infeasible":[36],"conduct":[38],"timely":[40],"and":[41,177,208],"yet":[42],"comprehensive":[43],"due":[45],"resource":[47],"constraints.":[48],"In":[49,159],"view":[50],"such":[52],"practical":[54],"challenge,":[55],"goal":[57],"this":[59,101],"work":[60],"develop":[63],"novel":[65,106],"computational":[66],"method":[67],"for":[68,149],"performing":[69],"active":[70,73],"observations,":[71],"termed":[72],"surveillance,":[74],"with":[75,126],"limited":[76],"resources.":[77],"Specifically,":[78],"aim":[80],"large":[87],"spatio-temporal":[88],"observations":[94],"some":[96],"components.":[99],"Towards":[100],"end,":[102],"introduce":[104],"measure,":[107],"\u03b3":[109,138],"value,":[110,139],"that":[111,189,219],"enables":[112],"us":[113],"identify":[115],"components":[118],"by":[119,201],"means":[120],"modeling":[122],"sentinel":[124,144,152],"network":[125,145,153],"row":[128],"sparsity":[129],"structure.":[130],"Having":[131],"obtained":[132],"theoretical":[134],"understanding":[135],"design":[141],"backward-selection":[143],"mining":[146],"algorithm":[147],"(SNMA)":[148],"deriving":[150],"via":[154],"group":[155],"sparse":[156],"Bayesian":[157],"learning.":[158],"order":[160],"be":[162],"practically":[163],"useful,":[164],"further":[166],"address":[167],"issue":[169],"scalability":[171],"computation":[174],"SNMA,":[176],"moreover,":[178],"extend":[179],"SNMA":[180,200,220],"case":[183],"non-linear":[186],"dynamical":[187],"involve":[191],"complex":[192],"mechanisms.":[194],"We":[195],"show":[196],"effectiveness":[198],"validating":[202],"using":[204],"both":[205],"synthetic":[206],"datasets":[207],"five":[209],"datasets.":[211],"experimental":[213],"results":[214],"are":[215],"appealing,":[216],"which":[217],"demonstrate":[218],"readily":[221],"outperforms":[222],"state-of-the-art":[224],"methods.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
