{"id":"https://openalex.org/W2923396414","doi":"https://doi.org/10.1109/tip.2019.2907054","title":"Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization","display_name":"Simultaneous Dimensionality Reduction and Classification via Dual Embedding Regularized Nonnegative Matrix Factorization","publication_year":2019,"publication_date":"2019-03-22","ids":{"openalex":"https://openalex.org/W2923396414","doi":"https://doi.org/10.1109/tip.2019.2907054","mag":"2923396414","pmid":"https://pubmed.ncbi.nlm.nih.gov/30908225"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2907054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2907054","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081114494","display_name":"Wenhui Wu","orcid":"https://orcid.org/0000-0002-0416-7719"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenhui Wu","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"raw_orcid":"https://orcid.org/0000-0002-0416-7719","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"raw_orcid":"https://orcid.org/0000-0003-3431-2021","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013880628","display_name":"Yuheng Jia","orcid":"https://orcid.org/0000-0002-3907-6550"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuheng Jia","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"raw_orcid":"https://orcid.org/0000-0002-3907-6550","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020304898","display_name":"Horace H. S. Ip","orcid":"https://orcid.org/0000-0002-1509-9002"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Horace Ho Shing Ip","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.1836,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.90346913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"3836","last_page":"3847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9894999861717224,"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":0.9876999855041504,"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":0.7090741991996765},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6553924083709717},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6356271505355835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6150036454200745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5521872043609619},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5515503883361816},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.530351459980011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5126144289970398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42357560992240906},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4203890562057495},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41830235719680786},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3235695958137512},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18563267588615417}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7090741991996765},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6553924083709717},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6356271505355835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6150036454200745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521872043609619},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5515503883361816},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.530351459980011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5126144289970398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42357560992240906},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4203890562057495},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41830235719680786},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3235695958137512},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18563267588615417},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2907054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2907054","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30908225","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30908225","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4835894923","display_name":"\u591a\u6807\u8bb0\u95ee\u9898\u7684\u4e0d\u786e\u5b9a\u6027\u5206\u6790\u4e0e\u4e3b\u52a8\u5b66\u4e60\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7678096932","display_name":"\u9762\u5411\u89c6\u89c9\u611f\u77e5\u548c\u79fb\u52a8\u7ec8\u7aef\u7684\u9ad8\u6548\u89c6\u9891\u7f16\u7801\u4f18\u5316\u7814\u7a76","funder_award_id":"61672443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W121678491","https://openalex.org/W174426676","https://openalex.org/W1672347394","https://openalex.org/W1753149633","https://openalex.org/W1902027874","https://openalex.org/W1964412262","https://openalex.org/W1968970305","https://openalex.org/W2006696725","https://openalex.org/W2017288758","https://openalex.org/W2019564823","https://openalex.org/W2023640363","https://openalex.org/W2027922120","https://openalex.org/W2043545458","https://openalex.org/W2049633694","https://openalex.org/W2094808655","https://openalex.org/W2101139104","https://openalex.org/W2103560185","https://openalex.org/W2104819583","https://openalex.org/W2105431676","https://openalex.org/W2108119513","https://openalex.org/W2108919995","https://openalex.org/W2112109082","https://openalex.org/W2112796928","https://openalex.org/W2118718620","https://openalex.org/W2121647436","https://openalex.org/W2123921160","https://openalex.org/W2125331746","https://openalex.org/W2129807511","https://openalex.org/W2135029798","https://openalex.org/W2142584058","https://openalex.org/W2142621404","https://openalex.org/W2144719328","https://openalex.org/W2146739705","https://openalex.org/W2149497493","https://openalex.org/W2154455818","https://openalex.org/W2166049352","https://openalex.org/W2296490796","https://openalex.org/W2336020590","https://openalex.org/W2399812666","https://openalex.org/W2435477720","https://openalex.org/W2606849927","https://openalex.org/W2607323999","https://openalex.org/W2782630728","https://openalex.org/W2804454015","https://openalex.org/W2903254834","https://openalex.org/W3143596294","https://openalex.org/W4285719527","https://openalex.org/W6656245457","https://openalex.org/W6674848643","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6682494755","https://openalex.org/W6696983606","https://openalex.org/W6718044918"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W4390394189","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W4294224199"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1,107],"factorization":[2],"(NMF)":[3],"is":[4,95,135,161],"a":[5,39,53,83,121],"well-known":[6],"paradigm":[7],"for":[8,111],"data":[9,25,116],"representation.":[10],"Traditional":[11],"NMF-based":[12],"classification":[13,70,176],"methods":[14],"first":[15],"perform":[16],"NMF":[17,92],"or":[18],"one":[19],"of":[20,38,68,123],"its":[21],"variants":[22],"on":[23],"input":[24,115],"samples":[26,117],"to":[27,137,154],"obtain":[28],"their":[29],"low-dimensional":[30,103,124],"representations,":[31],"which":[32,94],"are":[33,118],"successively":[34],"classified":[35],"by":[36,81],"means":[37],"typical":[40],"classifier":[41],"[e.g.,":[42],"k":[43],"-nearest":[44],"neighbors":[45],"(KNN)":[46],"and":[47,105,128,131],"support":[48],"vector":[49],"machine":[50],"(SVM)].":[51],"Such":[52],"stepwise":[54],"manner":[55],"may":[56],"overlook":[57],"the":[58,61,66,69,78,102,139,156],"dependency":[59],"between":[60],"two":[62,79],"processes,":[63],"resulting":[64,157],"in":[65,144],"compromise":[67],"accuracy.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75,148],"elegantly":[76],"unify":[77],"processes":[80],"formulating":[82],"novel":[84],"constrained":[85],"optimization":[86,110],"model,":[87],"namely":[88],"dual":[89],"embedding":[90,134],"regularized":[91],"(DENMF),":[93],"semi-supervised.":[96],"Our":[97],"DENMF":[98,172],"solution":[99],"simultaneously":[100],"finds":[101],"representations":[104],"assignment":[106],"via":[108],"joint":[109],"better":[112],"classification.":[113],"Specifically,":[114],"projected":[119],"onto":[120],"couple":[122],"spaces":[125],"(i.e.,":[126],"feature":[127],"label":[129],"spaces),":[130],"locally":[132],"linear":[133],"employed":[136],"preserve":[138],"identical":[140],"local":[141],"geometric":[142],"structure":[143],"different":[145],"spaces.":[146],"Moreover,":[147],"propose":[149],"an":[150],"alternating":[151],"iteration":[152],"algorithm":[153],"solve":[155],"DENMF,":[158],"whose":[159],"convergence":[160],"theoretically":[162],"proven.":[163],"Experimental":[164],"results":[165],"over":[166],"five":[167],"benchmark":[168],"datasets":[169],"demonstrate":[170],"that":[171],"can":[173],"achieve":[174],"higher":[175],"accuracy":[177],"than":[178],"state-of-the-art":[179],"algorithms.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}