{"id":"https://openalex.org/W2107913904","doi":"https://doi.org/10.1109/icarcv.2008.4795558","title":"Robust fusion using boosting and transduction for component-based face recognition","display_name":"Robust fusion using boosting and transduction for component-based face recognition","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2107913904","doi":"https://doi.org/10.1109/icarcv.2008.4795558","mag":"2107913904"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2008.4795558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","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/A5034449393","display_name":"Fayin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fayin Li","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Dept. of Comput. Sci., George Mason Univerisity, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Dept. of Comput. Sci., George Mason Univerisity, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004114212","display_name":"Harry Wechsler","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harry Wechsler","raw_affiliation_strings":["Department of Computer Science, George Mason University, Fairfax, VA, USA","Dept. of Comput. Sci., George Mason Univerisity, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Dept. of Comput. Sci., George Mason Univerisity, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064744996","display_name":"M\u00e1ssimo Tistarelli","orcid":"https://orcid.org/0000-0002-3406-3048"},"institutions":[{"id":"https://openalex.org/I159650629","display_name":"University of Sassari","ror":"https://ror.org/01bnjbv91","country_code":"IT","type":"education","lineage":["https://openalex.org/I159650629"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Tistarelli","raw_affiliation_strings":["Computer Vision Laboratory, Universita di Sassari, Alghero, Italy","Comput. Vision Lab., Univ. di Sassari, Alghero"],"affiliations":[{"raw_affiliation_string":"Computer Vision Laboratory, Universita di Sassari, Alghero, Italy","institution_ids":["https://openalex.org/I159650629"]},{"raw_affiliation_string":"Comput. Vision Lab., Univ. di Sassari, Alghero","institution_ids":["https://openalex.org/I159650629"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034449393"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":0.3547,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.65406808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"434","last_page":"439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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/T10828","display_name":"Biometric Identification and Security","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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":0.7374725341796875},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6230407357215881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6143813133239746},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6126351356506348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5925738215446472},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5630216002464294},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5596729516983032},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3791022300720215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512769937515259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34172195196151733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374725341796875},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6230407357215881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6143813133239746},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6126351356506348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5925738215446472},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5630216002464294},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5596729516983032},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3791022300720215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512769937515259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34172195196151733}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarcv.2008.4795558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.uniss.it:2142","is_oa":false,"landing_page_url":"http://eprints.uniss.it/2142/1/Li_F_ContrCongresso_2008_Robust.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401147","display_name":"UnissResearch (Universit\u00e0 degli Studi di Sassari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I159650629","host_organization_name":"University of Sassari","host_organization_lineage":["https://openalex.org/I159650629"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W131097277","https://openalex.org/W382790406","https://openalex.org/W1488642921","https://openalex.org/W1524840732","https://openalex.org/W1595140938","https://openalex.org/W1849729440","https://openalex.org/W1987484445","https://openalex.org/W2004293399","https://openalex.org/W2040515152","https://openalex.org/W2058005833","https://openalex.org/W2082498363","https://openalex.org/W2091845343","https://openalex.org/W2105087447","https://openalex.org/W2112076978","https://openalex.org/W2122111042","https://openalex.org/W2137659841","https://openalex.org/W2145452316","https://openalex.org/W2148603752","https://openalex.org/W2149856110","https://openalex.org/W2151103935","https://openalex.org/W2156841861","https://openalex.org/W2159680539","https://openalex.org/W2164598857","https://openalex.org/W2799061466","https://openalex.org/W2912889105","https://openalex.org/W4240035482","https://openalex.org/W4244494905","https://openalex.org/W6638875480","https://openalex.org/W6676769703"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W2116862786","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Face":[0],"recognition":[1,57,175],"performance":[2],"depends":[3],"upon":[4],"the":[5,27,38,43,87,95,100,126,144,170,193],"input":[6],"variability":[7],"as":[8,123],"encountered":[9],"during":[10],"biometric":[11],"data":[12,44,63],"capture":[13,180],"including":[14,125],"occlusion":[15],"and":[16,29,40,53,70,91,103,114,132,167],"disguise.":[17],"The":[18,72,164,187],"challenge":[19],"met":[20],"in":[21,150],"this":[22],"paper":[23],"is":[24],"to":[25,162],"expand":[26],"scope":[28],"utility":[30,168],"of":[31,42,110,146,169],"biometrics":[32],"by":[33,68,140,157],"discarding":[34],"unwarranted":[35],"assumptions":[36],"regarding":[37,135],"completeness":[39],"quality":[41],"captured.":[45],"Towards":[46],"that":[47,65,142],"end":[48],"we":[49],"propose":[50],"a":[51,151,158],"model-free":[52],"non-parametric":[54],"component-based":[55],"face":[56,174],"strategy":[58],"with":[59],"robust":[60],"decisions":[61],"for":[62,189],"fusion":[64],"are":[66,148,182],"driven":[67,139,156],"transduction":[69,155],"boosting.":[71],"conceptual":[73,88],"framework":[74,102],"draws":[75],"support":[76],"throughout":[77],"from":[78],"discriminative":[79],"methods":[80],"using":[81,137,154,184],"likelihood":[82],"ratios.":[83],"It":[84],"links":[85,99],"at":[86,94],"level":[89,97],"forensics":[90],"biometrics,":[92],"while":[93],"implementation":[96],"it":[98],"Bayesian":[101],"statistical":[104],"learning":[105],"theory":[106],"(SLT).":[107],"Feature":[108],"selection":[109],"local":[111],"patch":[112],"instances":[113],"their":[115],"corresponding":[116],"high-order":[117],"combinations,":[118],"exemplar-based":[119],"clustering":[120],"(of":[121,128],"patches)":[122],"components":[124,141],"sharing":[127],"exemplars)":[129],"among":[130],"components,":[131],"finally":[133],"decision-making":[134],"authentication":[136],"boosting":[138],"play":[143],"role":[145],"weak-learners,":[147],"implemented":[149],"similar":[152],"fashion":[153],"strangeness":[159],"measure":[160],"akin":[161],"typicality.":[163],"feasibility,":[165],"reliability,":[166],"proposed":[171],"open":[172],"set":[173],"architecture":[176],"vis-\u00e0-vis":[177],"adverse":[178],"image":[179],"conditions":[181],"illustrated":[183],"FRGC":[185],"data.":[186],"potential":[188],"future":[190],"developments":[191],"concludes":[192],"paper.":[194]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}