{"id":"https://openalex.org/W2109130235","doi":"https://doi.org/10.1109/icme.2007.4284702","title":"Boosting Face Retrieval by using Relevant Set Correlation Clustering","display_name":"Boosting Face Retrieval by using Relevant Set Correlation Clustering","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W2109130235","doi":"https://doi.org/10.1109/icme.2007.4284702","mag":"2109130235"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2007.4284702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","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/A5043063578","display_name":"Duy-Dinh Le","orcid":"https://orcid.org/0000-0003-0356-5501"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Duy-Dinh Le","raw_affiliation_strings":["National Institute of Information, Chiyoda, Tokyo, Japan","Nat. Inst. of Inf., Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111504348","display_name":"Shin'ichi Satoh","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Information, Chiyoda, Tokyo, Japan","Nat. Inst. of Inf., Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025538864","display_name":"Michael E. Houle","orcid":"https://orcid.org/0000-0001-8486-8015"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michael E. Houle","raw_affiliation_strings":["National Institute of Information, Chiyoda, Tokyo, Japan","Nat. Inst. of Inf., Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Information, Chiyoda, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"524","last_page":"527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9972000122070312,"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":0.9876000285148621,"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":0.7437762022018433},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7417346239089966},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6618248820304871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460906267166138},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6091883778572083},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5590848326683044},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5195513367652893},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4739406406879425},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45377877354621887},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3452910780906677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20891547203063965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437762022018433},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7417346239089966},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6618248820304871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460906267166138},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6091883778572083},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5590848326683044},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5195513367652893},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4739406406879425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45377877354621887},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3452910780906677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20891547203063965},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2007.4284702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2007.4284702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia and Expo, 2007 IEEE International Conference on","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.687","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://satoh-lab.ex.nii.ac.jp/users/ledduy/pub/Le-Satoh-Houle-ICME-07-FaceRetrievalUsingRSC.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1558593673","https://openalex.org/W2129758780","https://openalex.org/W2159011948","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1518215897","https://openalex.org/W1538046993","https://openalex.org/W2016116988"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,27,67,77,123,140],"method":[3,184],"to":[4,64,83,87],"improve":[5],"the":[6,16,46,69,84,88,131,164,172,178,182],"performance":[7,71,180],"of":[8,26,59,80,94,101,119,126,133,181],"face":[9],"retrieval":[10,70,179],"in":[11,34],"news":[12],"videos":[13],"by":[14,32,44,139,162],"using":[15,45,163],"relevant-set":[17],"correlation":[18],"(RSC)":[19],"clustering":[20,104],"model.":[21],"In":[22],"this":[23,107],"method,":[24],"faces":[25,50,58,81],"person":[28,90],"are":[29,51,62,91],"firstly":[30],"retrieved":[31,97],"finding":[33],"shots":[35],"whose":[36],"associated":[37],"transcripts":[38],"contain":[39],"that":[40,154,177],"person's":[41],"name.":[42],"Then,":[43],"RSC":[47,103],"clustering,":[48],"these":[49,60],"organized":[52],"into":[53],"clusters":[54,61,85,120,134,144],"and":[55,121,148],"only":[56,76],"representative":[57],"introduced":[63],"users.":[65],"As":[66],"result,":[68],"is":[72,109],"significantly":[73],"increased":[74],"since":[75,130],"small":[78],"number":[79,118,125],"belonging":[82],"relevant":[86],"target":[89],"returned":[92],"instead":[93],"all":[95],"initial":[96],"faces.":[98,128],"The":[99],"contribution":[100],"new":[102],"model":[105],"for":[106,159],"problem":[108],"two-fold:":[110],"First,":[111],"it":[112],"can":[113,135,145,156],"automatically":[114],"determine":[115],"an":[116],"appropriate":[117],"discards":[122],"large":[124],"irrelevant":[127],"Second,":[129],"precision":[132,143],"be":[136,146,157],"controlled":[137],"easily":[138],"threshold,":[141],"high":[142],"obtained":[147],"treated":[149],"as":[150],"labeled":[151],"sets":[152],"so":[153],"they":[155],"used":[158],"feature":[160],"selection":[161],"linear":[165],"discriminant":[166],"analysis":[167],"(LDA)":[168],"method.":[169],"Experiments":[170],"on":[171],"TRECVID":[173],"2004":[174],"dataset":[175],"showed":[176],"proposed":[183],"outperforms":[185],"other":[186],"existing":[187],"methods.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}