{"id":"https://openalex.org/W2589177632","doi":"https://doi.org/10.1109/tpami.2017.2672557","title":"Separability-Oriented Subclass Discriminant Analysis","display_name":"Separability-Oriented Subclass Discriminant Analysis","publication_year":2017,"publication_date":"2017-02-22","ids":{"openalex":"https://openalex.org/W2589177632","doi":"https://doi.org/10.1109/tpami.2017.2672557","mag":"2589177632","pmid":"https://pubmed.ncbi.nlm.nih.gov/28237920"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2017.2672557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2672557","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.ulster.ac.uk/en/publications/separability-oriented-subclass-discriminant-analysis-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020556220","display_name":"Huan Wan","orcid":"https://orcid.org/0000-0002-8722-663X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Wan","raw_affiliation_strings":["Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460917","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-2633-6015"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Fujian Normal University, Fujian, P.R. China","School of Computing and Mathematics, Ulster University, Coleraine, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Fujian Normal University, Fujian, P.R. China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"School of Computing and Mathematics, Ulster University, Coleraine, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637886","display_name":"Gongde Guo","orcid":"https://orcid.org/0000-0002-5118-7261"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongde Guo","raw_affiliation_strings":["Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012322206","display_name":"Xin Wei","orcid":"https://orcid.org/0000-0003-0976-3381"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wei","raw_affiliation_strings":["Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Network Security and Cryptology, Fujian Normal University, Fujian, P.R. China","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020556220"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":null,"apc_paid":null,"fwci":2.2199,"has_fulltext":true,"cited_by_count":60,"citation_normalized_percentile":{"value":0.93010456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"40","issue":"2","first_page":"409","last_page":"422"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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":0.9980999827384949,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8698434829711914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7410218715667725},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6844357848167419},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.6834582686424255},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6747557520866394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6701857447624207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.586585521697998},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.567325234413147},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5359504818916321},{"id":"https://openalex.org/keywords/subclass","display_name":"Subclass","score":0.5299804210662842},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5083462595939636},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4866114854812622},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.4659233093261719},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4199589788913727},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.41644155979156494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40580832958221436}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8698434829711914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7410218715667725},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6844357848167419},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.6834582686424255},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6747557520866394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6701857447624207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.586585521697998},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.567325234413147},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5359504818916321},{"id":"https://openalex.org/C2776194381","wikidata":"https://www.wikidata.org/wiki/Q3965271","display_name":"Subclass","level":3,"score":0.5299804210662842},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5083462595939636},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4866114854812622},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.4659233093261719},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4199589788913727},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.41644155979156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40580832958221436},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159654299","wikidata":"https://www.wikidata.org/wiki/Q79460","display_name":"Antibody","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2017.2672557","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2017.2672557","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28237920","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28237920","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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:pure.atira.dk:publications/4332653b-83ec-40a7-95d6-c5a33e616c47","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/4332653b-83ec-40a7-95d6-c5a33e616c47","pdf_url":"https://pure.ulster.ac.uk/en/publications/separability-oriented-subclass-discriminant-analysis-3","source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"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":"Wan, H, Wang, H, Guo, G & Wei, X 2017, 'Separability-Oriented Subclass Discriminant Analysis', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39. https://doi.org/10.1109/TPAMI.2017.2672557","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/4332653b-83ec-40a7-95d6-c5a33e616c47","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/4332653b-83ec-40a7-95d6-c5a33e616c47","pdf_url":"https://pure.ulster.ac.uk/en/publications/separability-oriented-subclass-discriminant-analysis-3","source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"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":"Wan, H, Wang, H, Guo, G & Wei, X 2017, 'Separability-Oriented Subclass Discriminant Analysis', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39. https://doi.org/10.1109/TPAMI.2017.2672557","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2589177632.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1509928947","https://openalex.org/W1535602073","https://openalex.org/W1607985379","https://openalex.org/W1782590233","https://openalex.org/W1965337535","https://openalex.org/W1970748944","https://openalex.org/W1979902991","https://openalex.org/W1990368529","https://openalex.org/W1998871699","https://openalex.org/W2001619934","https://openalex.org/W2019464758","https://openalex.org/W2027717478","https://openalex.org/W2034230010","https://openalex.org/W2054653913","https://openalex.org/W2069106362","https://openalex.org/W2073148270","https://openalex.org/W2090341258","https://openalex.org/W2103560185","https://openalex.org/W2105628133","https://openalex.org/W2110662122","https://openalex.org/W2121647436","https://openalex.org/W2126007985","https://openalex.org/W2130418330","https://openalex.org/W2130675919","https://openalex.org/W2134262590","https://openalex.org/W2135148572","https://openalex.org/W2135346934","https://openalex.org/W2137199074","https://openalex.org/W2145901830","https://openalex.org/W2146439239","https://openalex.org/W2151543530","https://openalex.org/W2155423555","https://openalex.org/W2164552042","https://openalex.org/W2165228095","https://openalex.org/W2167048949","https://openalex.org/W2169743536","https://openalex.org/W2171263752","https://openalex.org/W2182722412","https://openalex.org/W3120740533","https://openalex.org/W4250042253","https://openalex.org/W6630306207","https://openalex.org/W6680211656"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W2068218029","https://openalex.org/W1963649114","https://openalex.org/W1984472287","https://openalex.org/W1978302214","https://openalex.org/W2025089370","https://openalex.org/W2348715601","https://openalex.org/W2162393942","https://openalex.org/W2321869780","https://openalex.org/W3147024994"],"abstract_inverted_index":{"Linear":[0],"discriminant":[1,52,58,133],"analysis":[2,53,59,134],"(LDA)":[3],"is":[4,41,105,116],"a":[5,142,147],"classical":[6],"method":[7],"for":[8,20],"discriminative":[9],"dimensionality":[10],"reduction.":[11],"The":[12],"original":[13],"LDA":[14,153,187],"may":[15,24],"degrade":[16],"in":[17,94,173,199],"its":[18],"performance":[19,167],"non-Gaussian":[21],"data,":[22],"and":[23,55,67,71,171,197],"be":[25],"unable":[26],"to":[27,31,46,89,96,120,140],"extract":[28],"sufficient":[29],"features":[30],"satisfactorily":[32],"explain":[33],"the":[34,37,69,76,85,111],"data":[35,185],"when":[36],"number":[38],"of":[39,78,87,110,128],"classes":[40],"small.":[42],"Two":[43],"prominent":[44],"extensions":[45],"address":[47],"these":[48],"problems":[49],"are":[50],"subclass":[51,57,132],"(SDA)":[54],"mixture":[56],"(MSDA).":[60],"They":[61],"divide":[62,141],"every":[63],"class":[64,99,143,192],"into":[65,144,186],"subclasses":[66,91,145],"re-define":[68],"within-class":[70],"between-class":[72],"scatter":[73,157],"matrices":[74],"on":[75],"basis":[77],"subclass.":[79],"In":[80,118],"this":[81],"paper":[82],"we":[83,114,124],"study":[84],"issue":[86],"how":[88],"obtain":[90],"more":[92],"effectively":[93],"order":[95,119],"achieve":[97],"higher":[98,191],"separation.":[100],"We":[101],"observe":[102],"that":[103,163,181,189],"there":[104],"significant":[106],"overlap":[107,123],"between":[108],"models":[109],"subclasses,":[112],"which":[113,136],"hypothesise":[115],"undesirable.":[117],"reduce":[121],"their":[122],"propose":[125],"an":[126],"extension":[127],"LDA,":[129,169,195],"separability":[130,148],"oriented":[131,149],"(SSDA),":[135],"employs":[137],"hierarchical":[138],"clustering":[139],"using":[146,155],"criterion,":[150],"before":[151],"applying":[152],"optimisation":[154],"re-defined":[156],"matrices.":[158],"Extensive":[159],"experiments":[160,177],"have":[161,178],"shown":[162,180],"SSDA":[164,182],"has":[165,190],"better":[166],"than":[168,194],"SDA":[170,196],"MSDA":[172,198],"most":[174,200],"cases.":[175,201],"Additional":[176],"further":[179],"can":[183],"project":[184],"space":[188],"separation":[193]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
