{"id":"https://openalex.org/W2075977075","doi":"https://doi.org/10.3390/s141223509","title":"Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks","display_name":"Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks","publication_year":2014,"publication_date":"2014-12-08","ids":{"openalex":"https://openalex.org/W2075977075","doi":"https://doi.org/10.3390/s141223509","mag":"2075977075","pmid":"https://pubmed.ncbi.nlm.nih.gov/25494350"},"language":"en","primary_location":{"id":"doi:10.3390/s141223509","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s141223509","pdf_url":"https://www.mdpi.com/1424-8220/14/12/23509/pdf?version=1418042366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/14/12/23509/pdf?version=1418042366","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101878819","display_name":"Cuicui Zhang","orcid":"https://orcid.org/0000-0003-0146-677X"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Cuicui Zhang","raw_affiliation_strings":["Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083213551","display_name":"Xuefeng Liang","orcid":"https://orcid.org/0000-0002-1448-0477"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xuefeng Liang","raw_affiliation_strings":["Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102940139","display_name":"Takashi Matsuyama","orcid":"https://orcid.org/0000-0003-0666-0512"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Matsuyama","raw_affiliation_strings":["Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatices, Kyoto University, Kyoto 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.2675,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65008531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"12","first_page":"23509","last_page":"23538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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":0.7415415048599243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834680795669556},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.558968186378479},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5188711881637573},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4781542718410492},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4440472424030304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36701500415802},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34820085763931274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415415048599243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834680795669556},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.558968186378479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5188711881637573},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4781542718410492},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4440472424030304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36701500415802},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34820085763931274},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s141223509","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s141223509","pdf_url":"https://www.mdpi.com/1424-8220/14/12/23509/pdf?version=1418042366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:25494350","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25494350","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c05fb8be69fb48039cc224210d30cbfd","is_oa":true,"landing_page_url":"https://doaj.org/article/c05fb8be69fb48039cc224210d30cbfd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 14, Iss 12, Pp 23509-23538 (2014)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3271656","is_oa":true,"landing_page_url":"http://europepmc.org/articles/PMC4299075","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/14/12/23509/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s141223509","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4299075","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4299075","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s141223509","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s141223509","pdf_url":"https://www.mdpi.com/1424-8220/14/12/23509/pdf?version=1418042366","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G241874842","display_name":"Salient motion decomposition using potential surface in high dimensional space","funder_award_id":"25730113","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2075977075.pdf","grobid_xml":"https://content.openalex.org/works/W2075977075.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1521439207","https://openalex.org/W1536741815","https://openalex.org/W1591385104","https://openalex.org/W1598106187","https://openalex.org/W1971220482","https://openalex.org/W1982850300","https://openalex.org/W2001947174","https://openalex.org/W2021012145","https://openalex.org/W2024853191","https://openalex.org/W2033419168","https://openalex.org/W2036872036","https://openalex.org/W2043694524","https://openalex.org/W2062019416","https://openalex.org/W2070343473","https://openalex.org/W2075933180","https://openalex.org/W2090504921","https://openalex.org/W2092131162","https://openalex.org/W2093238900","https://openalex.org/W2095189186","https://openalex.org/W2102544846","https://openalex.org/W2103560185","https://openalex.org/W2107084901","https://openalex.org/W2110410904","https://openalex.org/W2117553576","https://openalex.org/W2119077463","https://openalex.org/W2122892819","https://openalex.org/W2123921160","https://openalex.org/W2129846893","https://openalex.org/W2134262590","https://openalex.org/W2134383016","https://openalex.org/W2137204852","https://openalex.org/W2140398892","https://openalex.org/W2141200867","https://openalex.org/W2150899260","https://openalex.org/W2152690956","https://openalex.org/W2154872931","https://openalex.org/W2157124852","https://openalex.org/W2166939233","https://openalex.org/W2167999447","https://openalex.org/W2170946361","https://openalex.org/W2171373992","https://openalex.org/W2182181591","https://openalex.org/W2480110611","https://openalex.org/W2994340921","https://openalex.org/W6685296612"],"related_works":["https://openalex.org/W1185300216","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3111529524","https://openalex.org/W4375951447"],"abstract_inverted_index":{"Multi-camera":[0],"networks":[1],"have":[2],"gained":[3],"great":[4],"interest":[5,114],"in":[6,24,115,126],"video-based":[7],"surveillance":[8],"systems":[9],"for":[10,216],"security":[11],"monitoring,":[12],"access":[13],"control,":[14],"etc.":[15],"Person":[16],"re-identification":[17],"is":[18,62],"an":[19],"essential":[20],"and":[21,50,75,185,209],"challenging":[22],"task":[23],"multi-camera":[25],"networks,":[26],"which":[27,171],"aims":[28],"to":[29,64,67,102,139,150,192,231,238],"determine":[30],"if":[31],"a":[32,48,52,165,182,187],"given":[33],"individual":[34],"has":[35,122],"already":[36],"appeared":[37],"over":[38],"the":[39,58,68,71,76,87,95,103,107,116,145,152,173,194,205,225,234,239],"camera":[40,72],"network.":[41],"Individual":[42],"recognition":[43,83],"often":[44,85],"uses":[45],"faces":[46],"as":[47],"trial":[49],"requires":[51],"large":[53],"number":[54,97],"of":[55,70,98,106,118,228],"samples":[56,100,179],"during":[57,156],"training":[59,99],"phrase.":[60],"This":[61],"difficult":[63],"fulfill":[65],"due":[66],"limitation":[69],"hardware":[73],"system":[74,230],"unconstrained":[77],"image":[78],"capturing":[79],"conditions.":[80],"Conventional":[81],"face":[82,207],"algorithms":[84],"encounter":[86],"\"small":[88],"sample":[89,108],"size\"":[90],"(SSS)":[91],"problem":[92,236],"arising":[93],"from":[94,144,204],"small":[96,146,174],"compared":[101,237],"high":[104],"dimensionality":[105],"space.":[109],"To":[110,158],"overcome":[111],"this":[112,162],"problem,":[113],"combination":[117],"multiple":[119],"base":[120,142,199,212],"classifiers":[121,143,200,213],"sparked":[123],"research":[124],"efforts":[125],"ensemble":[127,131,169],"methods.":[128],"However,":[129],"existing":[130],"methods":[132],"still":[133],"open":[134],"two":[135],"questions:":[136],"(1)":[137],"how":[138,149],"define":[140],"diverse":[141,198],"data;":[147],"(2)":[148],"avoid":[151],"diversity/accuracy":[153,195],"dilemma":[154],"occurring":[155],"ensemble.":[157,217],"address":[159],"these":[160],"problems,":[161],"paper":[163],"proposes":[164],"novel":[166],"generic":[167,183],"learning-based":[168],"framework,":[170],"augments":[172],"data":[175],"by":[176],"generating":[177],"new":[178],"based":[180],"on":[181,221],"distribution":[184],"introduces":[186],"tailored":[188],"0-1":[189],"knapsack":[190],"algorithm":[191],"alleviate":[193],"dilemma.":[196],"More":[197],"can":[201],"be":[202],"generated":[203],"expanded":[206],"space,":[208],"more":[210],"appropriate":[211],"are":[214],"selected":[215],"Extensive":[218],"experimental":[219],"results":[220],"four":[222],"benchmarks":[223],"demonstrate":[224],"higher":[226],"ability":[227],"our":[229],"cope":[232],"with":[233],"SSS":[235],"state-of-the-art":[240],"system.":[241]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
