{"id":"https://openalex.org/W2418680305","doi":"https://doi.org/10.1109/acpr.2015.7486603","title":"Image set representation and classification with covariate-relation graph","display_name":"Image set representation and classification with covariate-relation graph","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2418680305","doi":"https://doi.org/10.1109/acpr.2015.7486603","mag":"2418680305"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5028850142","display_name":"Zhuqiang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuqiang Chen","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053609164","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-6238-1596"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030720334","display_name":"Jin Tang","orcid":"https://orcid.org/0000-0001-8375-3590"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Tang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028850142"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":1.2887,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87198084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"750","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9919000267982483,"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":0.9919000267982483,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9878000020980835,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6904804110527039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6478471755981445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6288626790046692},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.62740159034729},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5961096286773682},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5416401624679565},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5165113806724548},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5149558186531067},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.48762670159339905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4323854446411133},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4225260615348816},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4124162197113037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3074418902397156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27815935015678406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2614489495754242},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16907131671905518}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6904804110527039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478471755981445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288626790046692},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.62740159034729},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5961096286773682},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5416401624679565},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5165113806724548},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5149558186531067},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.48762670159339905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4323854446411133},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4225260615348816},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4124162197113037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3074418902397156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27815935015678406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2614489495754242},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16907131671905518},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W128985311","https://openalex.org/W1506778248","https://openalex.org/W1550365753","https://openalex.org/W1820849028","https://openalex.org/W1986964250","https://openalex.org/W1996939238","https://openalex.org/W2021340975","https://openalex.org/W2022398315","https://openalex.org/W2084269393","https://openalex.org/W2101913142","https://openalex.org/W2110599581","https://openalex.org/W2111411921","https://openalex.org/W2111654153","https://openalex.org/W2112074816","https://openalex.org/W2120453412","https://openalex.org/W2122691893","https://openalex.org/W2126017757","https://openalex.org/W2134849720","https://openalex.org/W2137894166","https://openalex.org/W2143159002","https://openalex.org/W2144093206","https://openalex.org/W2150600350","https://openalex.org/W2154872931","https://openalex.org/W2157092301","https://openalex.org/W2160933580","https://openalex.org/W2162813111","https://openalex.org/W3097096317","https://openalex.org/W3105710301","https://openalex.org/W6676305975","https://openalex.org/W6680266532","https://openalex.org/W6683142446","https://openalex.org/W6683756719","https://openalex.org/W6684006261"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2994787386","https://openalex.org/W2599254681"],"abstract_inverted_index":{"Recently,":[0],"image":[1,32,47,71],"set":[2,33,48,72],"representation":[3,34,56],"and":[4,13,62,81],"classification":[5,73],"is":[6,59],"an":[7],"important":[8],"problem":[9],"in":[10,22],"computer":[11,24],"vision":[12,25],"pattern":[14],"recognition":[15],"area.":[16],"It":[17],"has":[18,40],"been":[19,41],"widely":[20],"used":[21],"many":[23],"applications.":[26],"In":[27],"this":[28],"paper,":[29],"a":[30,50],"new":[31],"method,":[35],"named":[36],"covariate-relation":[37],"graph":[38,51],"(CRG),":[39],"proposed.":[42],"CRG":[43,58,66,96],"aims":[44],"to":[45],"represent":[46],"with":[49,54],"model.":[52],"Compared":[53],"existing":[55],"methods,":[57],"more":[60],"flexible":[61],"intuitive.":[63],"Based":[64],"on":[65,87],"representation,":[67],"we":[68],"further":[69],"achieve":[70],"tasks":[74],"using":[75],"Kernel":[76],"Linear":[77],"Discriminant":[78],"Analysis":[79],"(KLDA)":[80],"nearest":[82],"neighbor":[83],"classification.":[84],"Experimental":[85],"results":[86],"several":[88],"datasets":[89],"demonstrate":[90],"the":[91,94],"benefit":[92],"of":[93],"proposed":[95],"representation.":[97]},"counts_by_year":[{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}