{"id":"https://openalex.org/W2330891907","doi":"https://doi.org/10.1109/spac.2014.6982683","title":"Online graph regularized non-negative matrix factorization for streamming data","display_name":"Online graph regularized non-negative matrix factorization for streamming data","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2330891907","doi":"https://doi.org/10.1109/spac.2014.6982683","mag":"2330891907"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2014.6982683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064150468","display_name":"Fudong Liu","orcid":"https://orcid.org/0000-0001-8771-5938"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fudong Liu","raw_affiliation_strings":["State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075453082","display_name":"Naiyang Guan","orcid":"https://orcid.org/0000-0002-6801-5714"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naiyang Guan","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065371644","display_name":"Yuhua Tang","orcid":"https://orcid.org/0000-0002-4956-3379"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Tang","raw_affiliation_strings":["State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"191","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9940000176429749,"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":0.9153198003768921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662971019744873},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7587404251098633},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5375582575798035},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5035986304283142},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4777376055717468},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4398018717765808},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4152188301086426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4086834788322449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40825119614601135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3941451609134674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38494399189949036},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3263463079929352}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.9153198003768921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662971019744873},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7587404251098633},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5375582575798035},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5035986304283142},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4777376055717468},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4398018717765808},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4152188301086426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4086834788322449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40825119614601135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3941451609134674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38494399189949036},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3263463079929352},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spac.2014.6982683","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2014.6982683","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W20696413","https://openalex.org/W1603138887","https://openalex.org/W1902027874","https://openalex.org/W2013029404","https://openalex.org/W2058269967","https://openalex.org/W2101837437","https://openalex.org/W2104290444","https://openalex.org/W2108119513","https://openalex.org/W2112447569","https://openalex.org/W2113359929","https://openalex.org/W2113728360","https://openalex.org/W2121281940","https://openalex.org/W2135029798","https://openalex.org/W2153622543","https://openalex.org/W2156718197","https://openalex.org/W2997701990","https://openalex.org/W3143596294","https://openalex.org/W6600811662","https://openalex.org/W6665040794","https://openalex.org/W6675747103","https://openalex.org/W6676727762","https://openalex.org/W6680012447","https://openalex.org/W6682755970"],"related_works":["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","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1,28,49],"factorization":[2,29],"(NMF)":[3],"has":[4,31],"been":[5],"widely":[6],"used":[7],"to":[8,38,50,58,85,118],"reduce":[9],"dimensionality":[10],"of":[11,103,140,156],"data":[12,48,89,98,104],"in":[13,36,52,90,138,154],"image":[14],"processing":[15],"and":[16,44,63,143,147],"various":[17],"applications.":[18],"Incorporating":[19],"the":[20,47,53,71,87,133,149],"geometric":[21],"structure":[22],"into":[23],"NMF,":[24],"graph":[25],"regularized":[26],"nonnegative":[27],"(GNMF)":[30],"shown":[32],"significant":[33],"performance":[34,131],"improvement":[35],"comparison":[37],"conventional":[39],"NMF.":[40],"However,":[41],"both":[42,141],"NMF":[43,136],"GNMF":[45,82,152],"require":[46],"reside":[51],"memory,":[54],"which":[55],"gives":[56],"rise":[57],"tremendous":[59],"pressure":[60],"for":[61],"computation":[62],"storage.":[64],"Moreover,":[65],"this":[66,76],"problem":[67],"becomes":[68],"serious":[69],"if":[70],"datasets":[72],"increase":[73],"dramatically.":[74],"In":[75],"paper,":[77],"we":[78],"propose":[79],"an":[80,91],"online":[81,135],"(OGNMF)":[83],"algorithm":[84],"process":[86],"incoming":[88],"incremental":[92],"manner,":[93],"i.e.,":[94],"OGNMF":[95,115,128],"processes":[96],"one":[97,101,106],"point":[99],"or":[100],"chunk":[102],"points":[105],"by":[107],"one.":[108],"By":[109],"utilizing":[110],"a":[111],"smart":[112],"buffering":[113],"technique,":[114],"scales":[116],"gracefully":[117],"large-scale":[119],"datasets.":[120],"Experimental":[121],"results":[122],"on":[123],"text":[124],"corpora":[125],"demonstrate":[126],"that":[127],"achieves":[129],"better":[130],"than":[132],"existing":[134,150],"algorithms":[137,153],"terms":[139,155],"accuracy":[142],"normalized":[144],"mutual":[145],"information,":[146],"outperforms":[148],"batch":[151],"time":[157],"overhead.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}