{"id":"https://openalex.org/W2075519511","doi":"https://doi.org/10.1109/tifs.2014.2375552","title":"Advanced Joint Bayesian Method for Face Verification","display_name":"Advanced Joint Bayesian Method for Face Verification","publication_year":2014,"publication_date":"2014-12-02","ids":{"openalex":"https://openalex.org/W2075519511","doi":"https://doi.org/10.1109/tifs.2014.2375552","mag":"2075519511"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2014.2375552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2375552","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Forensics and Security","raw_type":"journal-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/A5103244577","display_name":"Yicong Liang","orcid":"https://orcid.org/0000-0002-7657-7311"},"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":false,"raw_author_name":"Yicong Liang","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111444853","display_name":"Xiaoqing Ding","orcid":null},"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":false,"raw_author_name":"Xiaoqing Ding","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic EngineeringState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079361172","display_name":"Jing\u2010Hao Xue","orcid":"https://orcid.org/0000-0003-1174-610X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing-Hao Xue","raw_affiliation_strings":["Department of Statistical Science, University College London, London, U.K","Department of Statistical Science, University College London, London, U.K.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Department of Statistical Science, University College London, London, U.K.#TAB#","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7278,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76235781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"2","first_page":"346","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8265349268913269},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.7056365013122559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.66243976354599},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5439618825912476},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5217745900154114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.512782871723175},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48683756589889526},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4282628297805786},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41491737961769104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563230633735657},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09376555681228638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08560916781425476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265349268913269},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.7056365013122559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66243976354599},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5439618825912476},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5217745900154114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.512782871723175},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48683756589889526},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4282628297805786},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41491737961769104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563230633735657},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09376555681228638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08560916781425476},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2014.2375552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2014.2375552","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W170472577","https://openalex.org/W1498305593","https://openalex.org/W1509928947","https://openalex.org/W1589137271","https://openalex.org/W1782590233","https://openalex.org/W1975780119","https://openalex.org/W2001519147","https://openalex.org/W2039051707","https://openalex.org/W2047389622","https://openalex.org/W2098554822","https://openalex.org/W2098693229","https://openalex.org/W2109824782","https://openalex.org/W2110654099","https://openalex.org/W2114588272","https://openalex.org/W2122950138","https://openalex.org/W2123941108","https://openalex.org/W2124386111","https://openalex.org/W2145287260","https://openalex.org/W2159786793","https://openalex.org/W2160663297","https://openalex.org/W2161969291","https://openalex.org/W2165731615","https://openalex.org/W2652751060","https://openalex.org/W2993330478","https://openalex.org/W4251448448","https://openalex.org/W6606897240","https://openalex.org/W6629622560","https://openalex.org/W6630306207","https://openalex.org/W6635152626","https://openalex.org/W6644496774","https://openalex.org/W6676757673","https://openalex.org/W6739509182"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W3049691116","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562","https://openalex.org/W2753713401","https://openalex.org/W2053745677"],"abstract_inverted_index":{"Generative":[0],"Bayesian":[1,25,60,78],"models":[2],"have":[3],"recently":[4],"become":[5],"the":[6,23,41,50,76,85,89],"most":[7],"promising":[8],"framework":[9],"in":[10,19,30,44,88],"classifier":[11,29],"design":[12],"for":[13],"face":[14,91],"verification.":[15],"However,":[16],"we":[17,52],"report":[18],"this":[20,31],"paper":[21],"that":[22],"joint":[24,59],"method,":[26],"a":[27,54,64,70],"successful":[28],"framework,":[32],"suffers":[33],"performance":[34],"degradation":[35],"due":[36],"to":[37],"its":[38,45],"underuse":[39],"of":[40],"expectation-maximization":[42],"algorithm":[43],"training":[46],"phase.":[47],"To":[48],"rectify":[49],"underuse,":[51],"propose":[53],"new":[55],"method":[56,79],"termed":[57],"advanced":[58],"(AJB).":[61],"AJB":[62],"has":[63],"good":[65],"convergence":[66],"property":[67],"and":[68,80],"achieves":[69],"higher":[71],"verification":[72],"rate":[73],"than":[74],"both":[75],"Joint":[77],"other":[81],"state-of-the-art":[82],"classifiers":[83],"on":[84],"labeled":[86],"faces":[87],"wild":[90],"database.":[92]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}