{"id":"https://openalex.org/W2742548774","doi":"https://doi.org/10.23919/icif.2017.8009815","title":"Fractional discriminative multiview correlation projection for face feature fusion","display_name":"Fractional discriminative multiview correlation projection for face feature fusion","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2742548774","doi":"https://doi.org/10.23919/icif.2017.8009815","mag":"2742548774"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2017.8009815","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","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/A5055757510","display_name":"Yunhao Yuan","orcid":"https://orcid.org/0000-0003-3712-443X"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun-Hao Yuan","raw_affiliation_strings":["Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109298843","display_name":"Qiang Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Lv","raw_affiliation_strings":["Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793983","display_name":"Yun Li","orcid":"https://orcid.org/0000-0002-7628-0358"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Li","raw_affiliation_strings":["Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365196","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-5974-1116"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Yangzhou University, Yangzhou, P.R. China","institution_ids":["https://openalex.org/I78978612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039361400","display_name":"Hong-Kun Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Kun Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061132796","display_name":"Xiaobo Shen","orcid":"https://orcid.org/0000-0001-8494-4532"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Bo Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055757510"],"corresponding_institution_ids":["https://openalex.org/I78978612"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10038749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","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":0.9959999918937683,"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":0.9959999918937683,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9592999815940857,"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/discriminative-model","display_name":"Discriminative model","score":0.8608906269073486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.749396800994873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6785087585449219},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6534526348114014},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6455903053283691},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6307859420776367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6096630692481995},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5997623801231384},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5944786071777344},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5742448568344116},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.48525142669677734},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47580963373184204},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.46373119950294495},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4332490861415863},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4216718375682831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35423868894577026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1990855634212494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07642883062362671}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8608906269073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.749396800994873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6785087585449219},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6534526348114014},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6455903053283691},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6307859420776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6096630692481995},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5997623801231384},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5944786071777344},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5742448568344116},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.48525142669677734},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47580963373184204},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.46373119950294495},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4332490861415863},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4216718375682831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35423868894577026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1990855634212494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07642883062362671},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/icif.2017.8009815","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2017.8009815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 20th International Conference on Information Fusion (Fusion)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/127340","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/127340","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"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 Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W804553622","https://openalex.org/W1907621547","https://openalex.org/W1963631516","https://openalex.org/W2011390239","https://openalex.org/W2012982311","https://openalex.org/W2025341678","https://openalex.org/W2035713536","https://openalex.org/W2051730975","https://openalex.org/W2060794592","https://openalex.org/W2071207147","https://openalex.org/W2081863860","https://openalex.org/W2093422693","https://openalex.org/W2094579227","https://openalex.org/W2127409454","https://openalex.org/W2132549764","https://openalex.org/W2165673880","https://openalex.org/W4237951138","https://openalex.org/W6639630741"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W1995039490","https://openalex.org/W3008559849"],"abstract_inverted_index":{"Multiple":[0],"view":[1],"data":[2],"with":[3,52],"different":[4],"feature":[5],"representations":[6],"have":[7],"widely":[8],"arisen":[9],"in":[10,65],"various":[11],"practical":[12],"applications.":[13],"Due":[14],"to":[15],"the":[16,57],"information":[17,55],"diversity,":[18],"fusing":[19],"multiview":[20,41,91],"features":[21],"is":[22,46],"very":[23],"valuable":[24],"for":[25],"classification":[26],"purpose.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"propose":[32],"a":[33],"new":[34],"multifeature":[35],"fusion":[36],"method":[37],"called":[38],"fractional-order":[39,49],"discriminative":[40],"correlation":[42],"projection":[43],"(FDMCP),":[44],"which":[45],"based":[47],"on":[48,77],"scatter":[50,73],"matrices":[51,64],"class":[53],"label":[54],"of":[56],"samples.":[58],"FDMCP":[59,87],"first":[60],"defines":[61],"supervised":[62,72],"covariance":[63],"each":[66],"view.":[67],"It":[68],"then":[69],"constructs":[70],"fractional":[71],"matrices.":[74],"Experimental":[75],"results":[76],"three":[78],"benchmark":[79],"face":[80],"image":[81],"datasets":[82],"show":[83],"that":[84],"our":[85],"proposed":[86],"approach":[88],"outperforms":[89],"generalized":[90],"linear":[92],"discriminant":[93],"analysis.":[94]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
