{"id":"https://openalex.org/W2808578747","doi":"https://doi.org/10.24963/ijcai.2018/385","title":"Ranking Preserving Nonnegative Matrix Factorization","display_name":"Ranking Preserving Nonnegative Matrix Factorization","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808578747","doi":"https://doi.org/10.24963/ijcai.2018/385","mag":"2808578747"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/385","pdf_url":"https://www.ijcai.org/proceedings/2018/0385.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0385.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100759164","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0001-7975-6705"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["GB","JP"],"is_corresponding":true,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Bournemouth University","The University of Tokyo","Faculty of Science and Technology, Bournemouth University, UK","Graduate School of Information Science and Technology, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Faculty of Science and Technology, Bournemouth University, UK","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034654931","display_name":"Feng Tian","orcid":"https://orcid.org/0000-0002-6598-419X"},"institutions":[{"id":"https://openalex.org/I9300472","display_name":"Bournemouth University","ror":"https://ror.org/05wwcw481","country_code":"GB","type":"education","lineage":["https://openalex.org/I9300472"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Feng Tian","raw_affiliation_strings":["Bournemouth University","Faculty of Science and Technology, Bournemouth University, UK"],"affiliations":[{"raw_affiliation_string":"Bournemouth University","institution_ids":["https://openalex.org/I9300472"]},{"raw_affiliation_string":"Faculty of Science and Technology, Bournemouth University, UK","institution_ids":["https://openalex.org/I9300472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359534","display_name":"Weiwei Liu","orcid":"https://orcid.org/0000-0003-2450-3369"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weiwei Liu","raw_affiliation_strings":["The University of New South Wales","School of Computer Science and Engineering, The University of New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077754703","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-5991-7417"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications","School of Computer Science, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["The University of New South Wales","School of Computer Science and Engineering, The University of New South Wales, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021981442","display_name":"Kenji Yamanishi","orcid":"https://orcid.org/0000-0001-7370-9991"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Yamanishi","raw_affiliation_strings":["The University of Tokyo","Graduate School of Information Science and Technology, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100759164"],"corresponding_institution_ids":["https://openalex.org/I74801974","https://openalex.org/I9300472"],"apc_list":null,"apc_paid":null,"fwci":0.425,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66913025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2776","last_page":"2782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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":0.998199999332428,"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":0.9966999888420105,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7663031816482544},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.703080415725708},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6589275598526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5892944931983948},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5859715938568115},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5336998701095581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46644115447998047},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4520636796951294},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4409191906452179},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4261375963687897},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.42174091935157776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4070550799369812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3809053599834442},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35794925689697266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33222028613090515},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3318555951118469}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7663031816482544},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.703080415725708},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6589275598526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5892944931983948},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5859715938568115},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5336998701095581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46644115447998047},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4520636796951294},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4409191906452179},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4261375963687897},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.42174091935157776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4070550799369812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3809053599834442},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35794925689697266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33222028613090515},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3318555951118469},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.24963/ijcai.2018/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/385","pdf_url":"https://www.ijcai.org/proceedings/2018/0385.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.bournemouth.ac.uk:31142","is_oa":true,"landing_page_url":null,"pdf_url":"http://eprints.bournemouth.ac.uk/31142/1/0385.pdf","source":{"id":"https://openalex.org/S4306400187","display_name":"Bournemouth University Research Online (Bournemouth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9300472","host_organization_name":"Bournemouth University","host_organization_lineage":["https://openalex.org/I9300472"],"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":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:gala.gre.ac.uk:30490","is_oa":false,"landing_page_url":"http://gala.gre.ac.uk/id/eprint/30490/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401244","display_name":"Greenwich Academic Literature Archive (University of Greenwich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55060895","host_organization_name":"University of Greenwich","host_organization_lineage":["https://openalex.org/I55060895"],"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 Proceedings"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/385","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/385","pdf_url":"https://www.ijcai.org/proceedings/2018/0385.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3200522107","display_name":null,"funder_award_id":"61702296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8593929721","display_name":null,"funder_award_id":"691215","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2808578747.pdf","grobid_xml":"https://content.openalex.org/works/W2808578747.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W68180256","https://openalex.org/W176887922","https://openalex.org/W1084418525","https://openalex.org/W1859119539","https://openalex.org/W1902027874","https://openalex.org/W1968970305","https://openalex.org/W2002469984","https://openalex.org/W2052530028","https://openalex.org/W2088247287","https://openalex.org/W2104819583","https://openalex.org/W2108119513","https://openalex.org/W2118585731","https://openalex.org/W2135029798","https://openalex.org/W2144359569","https://openalex.org/W2221874034","https://openalex.org/W2243437193","https://openalex.org/W2323738766","https://openalex.org/W2514235155","https://openalex.org/W2560185252","https://openalex.org/W2569015882","https://openalex.org/W2574817444","https://openalex.org/W2735611519","https://openalex.org/W2741467864","https://openalex.org/W2757686304","https://openalex.org/W2761674588"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1,109],"factorization":[2,110],"(NMF),":[3],"a":[4,104],"well-known":[5],"technique":[6],"to":[7,33,36,60,69,87,118,122,130],"find":[8,61],"parts-based":[9],"representations":[10,63,77,117],"of":[11,64,161,166],"nonnegative":[12,108],"data,":[13,25],"has":[14],"been":[15],"widely":[16],"studied.":[17],"In":[18,89],"reality,":[19],"ordinal":[20,56,100],"relations":[21,57,101],"often":[22],"exist":[23],"among":[24],"such":[26],"as":[27],"data":[28,52,65,168],"i":[29],"is":[30,41],"more":[31,45,79],"related":[32],"j":[34],"than":[35],"q.":[37],"Such":[38],"relative":[39,71],"order":[40],"naturally":[42],"available,":[43],"and":[44,102,145],"importantly,":[46],"it":[47],"truly":[48],"reflects":[49],"the":[50,55,70,75,94,99,115,123,155],"latent":[51],"structure.":[53,169],"Preserving":[54],"enables":[58],"us":[59],"structured":[62],"that":[66,74,149],"are":[67],"faithful":[68],"order,":[72],"so":[73],"learned":[76,116],"become":[78],"discriminative.":[80],"However,":[81],"current":[82],"NMFs":[83],"pay":[84],"no":[85],"attention":[86],"this.":[88],"this":[90],"paper,":[91],"we":[92],"make":[93],"first":[95],"attempt":[96],"towards":[97],"incorporating":[98],"propose":[103],"novel":[105],"ranking":[106],"preserving":[107],"(RPNMF)":[111],"approach,":[112],"which":[113],"enforces":[114],"be":[119],"ranked":[120],"according":[121],"relations.":[124],"We":[125],"derive":[126],"iterative":[127],"updating":[128],"rules":[129],"solve":[131],"RPNMF's":[132],"objective":[133],"function":[134],"with":[135,140],"convergence":[136],"guaranteed.":[137],"Experimental":[138],"results":[139],"several":[141],"datasets":[142],"for":[143],"clustering":[144],"classification":[146],"have":[147],"demonstrated":[148],"RPNMF":[150],"achieves":[151],"greater":[152],"performance":[153],"against":[154],"state-of-the-arts,":[156],"not":[157],"only":[158],"in":[159],"terms":[160],"accuracy,":[162],"but":[163],"also":[164],"interpretation":[165],"orderly":[167]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}