{"id":"https://openalex.org/W4365807485","doi":"https://doi.org/10.1109/tai.2023.3267029","title":"Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation","display_name":"Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4365807485","doi":"https://doi.org/10.1109/tai.2023.3267029"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3267029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3267029","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-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/A5014312349","display_name":"Junmin Liu","orcid":"https://orcid.org/0000-0002-1462-7248"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junmin Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-1462-7248","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411039","display_name":"Yicheng Wang","orcid":"https://orcid.org/0000-0001-5560-5494"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-5560-5494","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033237004","display_name":"Jing Ma","orcid":"https://orcid.org/0000-0003-4909-2391"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Ma","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087216053","display_name":"Di Han","orcid":"https://orcid.org/0000-0003-3890-1528"},"institutions":[{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Han","raw_affiliation_strings":["School of Credit Management, Guangdong University of Finance, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-3890-1528","affiliations":[{"raw_affiliation_string":"School of Credit Management, Guangdong University of Finance, Guangdong, China","institution_ids":["https://openalex.org/I4210149618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102019257","display_name":"Yifan Huang","orcid":"https://orcid.org/0009-0003-5485-3578"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Huang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x0027;an Jiaotong University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7964,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87141201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"5","issue":"2","first_page":"590","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9914000034332275,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.8873417377471924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6417611837387085},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.560531497001648},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5273771286010742},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.48426124453544617},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43055182695388794},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4262723922729492},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4201699495315552},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4189836084842682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.381490021944046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3546748757362366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33923691511154175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3232649266719818}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8873417377471924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6417611837387085},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.560531497001648},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5273771286010742},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.48426124453544617},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43055182695388794},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4262723922729492},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4201699495315552},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4189836084842682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.381490021944046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3546748757362366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33923691511154175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3232649266719818},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3267029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3267029","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.550000011920929,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1636070402","display_name":null,"funder_award_id":"11991023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4210075541","display_name":null,"funder_award_id":"62276208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G575329728","display_name":null,"funder_award_id":"U20B2075","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1084418525","https://openalex.org/W1162328212","https://openalex.org/W1511586422","https://openalex.org/W1566133440","https://openalex.org/W1753149633","https://openalex.org/W1902027874","https://openalex.org/W1968698180","https://openalex.org/W1969147977","https://openalex.org/W1983069960","https://openalex.org/W2023173344","https://openalex.org/W2061017849","https://openalex.org/W2063069198","https://openalex.org/W2084150476","https://openalex.org/W2101837437","https://openalex.org/W2104819583","https://openalex.org/W2108119513","https://openalex.org/W2108433027","https://openalex.org/W2108919995","https://openalex.org/W2121281940","https://openalex.org/W2132549764","https://openalex.org/W2259771398","https://openalex.org/W2293415385","https://openalex.org/W2490201121","https://openalex.org/W2598259734","https://openalex.org/W2607323999","https://openalex.org/W2765771013","https://openalex.org/W2787276004","https://openalex.org/W2804454015","https://openalex.org/W2860738792","https://openalex.org/W2889597927","https://openalex.org/W2898230917","https://openalex.org/W2898782646","https://openalex.org/W2964518034","https://openalex.org/W2970503027","https://openalex.org/W2972460268","https://openalex.org/W2973382313","https://openalex.org/W2999145193","https://openalex.org/W3013427529","https://openalex.org/W3041063529","https://openalex.org/W3091661269","https://openalex.org/W3214972734","https://openalex.org/W4288345424","https://openalex.org/W6680012447","https://openalex.org/W6746466744","https://openalex.org/W6763624801"],"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/W2146544734"],"abstract_inverted_index":{"<italic":[0,39],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[1,40],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Nonnegative":[2],"matrix":[3,43,87,137],"factorization</i>":[4],"(NMF)":[5],"algorithms":[6,118],"are":[7],"a":[8,36,66,84],"series":[9],"of":[10,23,28,65,69,77,108,133,151],"dimensional":[11],"reduction":[12],"techniques":[13],"widely":[14],"used":[15],"in":[16,32,112],"data":[17,71,80],"preprocessing.":[18],"To":[19],"improve":[20],"the":[21,26,29,51,74,78,93,105,109,113,122,127,131,134,149],"performance":[22],"clustering":[24],"and":[25,56,81,124],"discrimination":[27],"low-dimensional":[30],"representation":[31],"NMF,":[33],"we":[34,96],"proposed":[35,52],"novel":[37],"semisupervised":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">constrained":[41],"nonnegative":[42],"factorization":[44],"based":[45],"on":[46,144],"label":[47,57,75,90,140],"propagation</i>":[48],"(LpCNMF).":[49],"Specifically,":[50],"LpCNMF":[53,128],"adopts":[54],"graph":[55],"propagation":[58],"as":[59],"regularization":[60],"terms,":[61],"then":[62],"makes":[63],"use":[64],"small":[67],"amount":[68],"labeled":[70],"to":[72,103],"predict":[73],"information":[76],"unlabeled":[79],"finally":[82],"obtains":[83],"predictive":[85,135],"membership":[86,136],"with":[88],"more":[89],"information.":[91],"At":[92],"same":[94],"time,":[95],"introduce":[97],"an":[98],"efficient":[99],"alternating":[100],"iterative":[101],"algorithm":[102,129,153],"solve":[104],"optimization":[106],"problem":[107],"objective":[110],"function":[111],"LpCNMF.":[114],"Unlike":[115],"other":[116],"NMF":[117,157],"that":[119],"only":[120],"update":[121,132],"basis":[123],"coefficient":[125],"matrices,":[126],"increases":[130],"obtained":[138],"by":[139],"propagation.":[141],"Experimental":[142],"results":[143],"various":[145],"benchmark":[146],"datasets":[147],"demonstrate":[148],"superiority":[150],"our":[152],"over":[154],"existing":[155],"state-of-the-art":[156],"algorithms.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}