{"id":"https://openalex.org/W2040572056","doi":"https://doi.org/10.1109/icip.2013.6738760","title":"Markov network-based multiple classifier for face image retrieval","display_name":"Markov network-based multiple classifier for face image retrieval","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2040572056","doi":"https://doi.org/10.1109/icip.2013.6738760","mag":"2040572056"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004363128","display_name":"Wonjun Hwang","orcid":"https://orcid.org/0000-0001-8895-0411"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjun Hwang","raw_affiliation_strings":["Samsung Advanced Institute of Technology","[Samsung Advanced Institute of Technology, Yongin, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"[Samsung Advanced Institute of Technology, Yongin, South Korea]","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079351237","display_name":"Kyungshik Noh","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungshik Noh","raw_affiliation_strings":["Samsung Advanced Institute of Technology","[Samsung Advanced Institute of Technology, Yongin, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology","institution_ids":["https://openalex.org/I2250650973"]},{"raw_affiliation_string":"[Samsung Advanced Institute of Technology, Yongin, South Korea]","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606266","display_name":"Junmo Kim","orcid":"https://orcid.org/0000-0002-7174-7932"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junmo Kim","raw_affiliation_strings":["KAIST, Korea","KAIST, Daejeon , South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"KAIST, Daejeon , South Korea#TAB#","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3685","last_page":"3689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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/T11448","display_name":"Face recognition and analysis","score":0.9940999746322632,"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/T10828","display_name":"Biometric Identification and Security","score":0.9891999959945679,"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/computer-science","display_name":"Computer science","score":0.7522289752960205},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7089797854423523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6699327230453491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6489859819412231},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6005887389183044},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4722527861595154},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45066535472869873},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4446040987968445},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.41403651237487793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3333185911178589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522289752960205},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7089797854423523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6699327230453491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6489859819412231},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6005887389183044},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4722527861595154},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45066535472869873},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4446040987968445},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.41403651237487793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3333185911178589}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1589614085","https://openalex.org/W1983748499","https://openalex.org/W2002425923","https://openalex.org/W2029367025","https://openalex.org/W2034473161","https://openalex.org/W2112508537","https://openalex.org/W2119077463","https://openalex.org/W2137659841","https://openalex.org/W2146824864","https://openalex.org/W2149760002","https://openalex.org/W2155759509","https://openalex.org/W2156131479","https://openalex.org/W2169364766","https://openalex.org/W4253308991","https://openalex.org/W6646324291","https://openalex.org/W6684561237"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2084326697","https://openalex.org/W2194396582","https://openalex.org/W2027903142","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2354322608","https://openalex.org/W2158700654"],"abstract_inverted_index":{"We":[0,156],"propose":[1],"a":[2,14,75,82,110,153],"new":[3],"face-recognition":[4],"framework":[5],"to":[6,119],"learn":[7],"the":[8,36,42,47,53,62,66,97,120,123,126,134,142,147,158,175],"relationship":[9,124],"between":[10,29,65,125,136],"multiple":[11],"classifiers":[12],"using":[13,161],"Markov":[15,76,148],"network.":[16],"For":[17,103],"each":[18,104],"image,":[19],"we":[20,79,108],"make":[21],"three":[22,54,67,143],"face":[23],"models":[24,87,92],"based":[25],"on":[26],"different":[27,55,68],"distances":[28],"two":[30],"eye":[31],"locations.":[32],"The":[33],"novelty":[34],"of":[35,112,133,146],"proposed":[37,159],"method":[38,43,160],"lies":[39],"in":[40,131],"that":[41,115],"not":[44],"only":[45],"compares":[46],"query":[48,86],"and":[49,96,122,167],"target":[50,91,113,137],"images":[51],"at":[52,141],"levels,":[56],"but":[57],"also":[58],"takes":[59],"into":[60],"account":[61],"statistical":[63],"dependency":[64,71],"models.":[69],"This":[70],"is":[72,129],"captured":[73,130],"by":[74,81,152],"network,":[77],"which":[78,170],"describe":[80],"graphical":[83],"model,":[84],"where":[85],"are":[88,93,116,150],"observation":[89],"nodes,":[90,95],"hidden":[94,127,144],"network":[98,149],"line":[99],"represents":[100],"their":[101],"relationships.":[102],"observation-hidden":[105],"node":[106],"pair,":[107],"collect":[109],"set":[111],"candidates":[114],"most":[117],"similar":[118],"observation,":[121],"nodes":[128,145],"terms":[132],"similarity":[135],"images.":[138],"Posterior":[139],"probabilities":[140],"computed":[151],"belief-propagation":[154],"algorithm.":[155],"evaluate":[157],"FRGC":[162],"ver":[163],"2.0,":[164],"XM2VTS,":[165],"BANCA,":[166],"PIE":[168],"databases,":[169],"demonstrates":[171],"its":[172],"superiority":[173],"under":[174],"untrained":[176],"variations.":[177]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
