{"id":"https://openalex.org/W2049683012","doi":"https://doi.org/10.1109/cimsivp.2014.7013270","title":"Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM)","display_name":"Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM)","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2049683012","doi":"https://doi.org/10.1109/cimsivp.2014.7013270","mag":"2049683012"},"language":"en","primary_location":{"id":"doi:10.1109/cimsivp.2014.7013270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsivp.2014.7013270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","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/A5083414756","display_name":"Xianming Chen","orcid":"https://orcid.org/0000-0002-9013-5974"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianming Chen","raw_affiliation_strings":["School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603443","display_name":"Chaoyang Zhang","orcid":"https://orcid.org/0000-0001-6873-1780"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaoyang Zhang","raw_affiliation_strings":["School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406","institution_ids":["https://openalex.org/I44854399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001575594","display_name":"Zhaoxian Zhou","orcid":"https://orcid.org/0000-0001-6789-166X"},"institutions":[{"id":"https://openalex.org/I44854399","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I44854399"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaoxian Zhou","raw_affiliation_strings":["School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi","institution_ids":["https://openalex.org/I44854399"]},{"raw_affiliation_string":"School of Computing; University of Southern Mississippi; Hattiesburg Mississippi 39406","institution_ids":["https://openalex.org/I44854399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44854399"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9832000136375427,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8099931478500366},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.783115029335022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7124943733215332},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6812692880630493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6343480348587036},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5415596961975098},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4745042026042938},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46945351362228394},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45521020889282227},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45150789618492126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15971067547798157}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8099931478500366},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.783115029335022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124943733215332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6812692880630493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6343480348587036},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5415596961975098},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4745042026042938},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46945351362228394},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45521020889282227},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45150789618492126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15971067547798157},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer 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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cimsivp.2014.7013270","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimsivp.2014.7013270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","raw_type":"proceedings-article"},{"id":"pmh:oai:aquila.usm.edu:fac_pubs-19235","is_oa":false,"landing_page_url":"https://aquila.usm.edu/fac_pubs/17922","pdf_url":null,"source":{"id":"https://openalex.org/S4306402529","display_name":"Aquila Digital Community (University of Southern Mississippi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I44854399","host_organization_name":"University of Southern Mississippi","host_organization_lineage":["https://openalex.org/I44854399"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309142","display_name":"University of Southern Mississippi","ror":"https://ror.org/0270vfa57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1735394485","https://openalex.org/W1979743748","https://openalex.org/W1987936289","https://openalex.org/W1989702938","https://openalex.org/W1997011019","https://openalex.org/W2067807322","https://openalex.org/W2095189186","https://openalex.org/W2098693229","https://openalex.org/W2108767394","https://openalex.org/W2120954940","https://openalex.org/W2138451337","https://openalex.org/W2168056397","https://openalex.org/W2180187800","https://openalex.org/W4239123348","https://openalex.org/W6684779711"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W2388958958","https://openalex.org/W2985118265"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,15,95,152],"new":[4],"type":[5],"of":[6,72,79,130],"hybrid":[7,96,125,149,180],"method":[8,126,150,181],"that":[9,147,165],"hybridizes":[10],"PCA":[11,34,81,104,131,159],"and":[12,82,108,132],"EBGM":[13,45,83,114],"as":[14],"two-stage":[16],"procedure":[17],"is":[18,35,46],"presented":[19],"to":[20,37,48,64],"improve":[21,87],"recognition":[22,77,88,135,155],"performance":[23,78,89,136],"in":[24,31],"large-scale":[25,91,138],"face":[26,32,51],"recognition.":[27],"Among":[28],"various":[29],"methods":[30,62],"recognition,":[33],"considered":[36],"identify":[38],"human":[39],"faces":[40],"by":[41,54,121],"holistic":[42],"views,":[43],"while":[44],"supposed":[47],"distinguish":[49],"one":[50],"from":[52],"another":[53],"details,":[55],"but":[56],"they":[57],"are":[58],"both":[59,80],"excellent":[60],"representative":[61],"due":[63],"their":[65],"respective":[66],"advantages.":[67],"However,":[68],"when":[69],"the":[70,76,100,110,117,124,128,134,148,166,168,171,173,176,179],"size":[71],"gallery":[73,101,139,169],"gets":[74],"large,":[75],"degrades":[84],"severely.":[85],"To":[86],"with":[90,103,113,137],"gallery,":[92],"we":[93],"propose":[94],"method,":[97],"which":[98],"preprocesses":[99],"images":[102],"at":[105],"first":[106],"stage,":[107],"produces":[109],"final":[111],"result":[112,119,145],"based":[115],"on":[116],"preliminary":[118],"generated":[120],"PCA.":[122],"Since":[123],"combines":[127],"advantages":[129],"EBGM,":[133],"has":[140,151],"been":[141],"improved":[142],"greatly.":[143],"Experimental":[144],"shows":[146],"remarkably":[153],"better":[154,172],"accuracy":[156],"than":[157,189],"either":[158],"or":[160],"EBGM.":[161,190],"Moreover,":[162],"it":[163],"seems":[164],"larger":[167],"size,":[170],"improvement.":[174],"On":[175],"other":[177],"hand,":[178],"brings":[182],"no":[183],"additional":[184],"computational":[185],"cost,":[186],"even":[187],"less":[188]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}