{"id":"https://openalex.org/W3117265891","doi":"https://doi.org/10.1109/tip.2020.3045631","title":"Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization","display_name":"Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization","publication_year":2020,"publication_date":"2020-12-23","ids":{"openalex":"https://openalex.org/W3117265891","doi":"https://doi.org/10.1109/tip.2020.3045631","mag":"3117265891","pmid":"https://pubmed.ncbi.nlm.nih.gov/33360992"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3045631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045631","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/A5024881484","display_name":"Ben Yang","orcid":"https://orcid.org/0000-0001-5970-1723"},"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":true,"raw_author_name":"Ben Yang","raw_affiliation_strings":["National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006736414","display_name":"Xuetao Zhang","orcid":"https://orcid.org/0000-0002-4534-1488"},"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":"Xuetao Zhang","raw_affiliation_strings":["National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science, Northwestern Polytechnical University, Xi'an, China","Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455958","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-3462-8472"},"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":"Fei Wang","raw_affiliation_strings":["National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019602351","display_name":"Weizhong Yu","orcid":"https://orcid.org/0000-0003-2906-8191"},"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":"Weizhong Yu","raw_affiliation_strings":["National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030351224","display_name":"Rong Wang","orcid":"https://orcid.org/0000-0001-9240-6726"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Wang","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","School of Computer Science, Northwestern Polytechnical University, Xi'an, China","Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024881484"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":4.1209,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.95294294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"2575","last_page":"2586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"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":0.9944999814033508,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9918000102043152,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7981076240539551},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6196142435073853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6151154041290283},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6000244617462158},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5413448810577393},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4588056802749634},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4544021785259247},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45427238941192627},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4340152144432068},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.43282997608184814},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4165247678756714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22528591752052307}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7981076240539551},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6196142435073853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6151154041290283},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6000244617462158},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5413448810577393},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4588056802749634},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4544021785259247},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45427238941192627},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4340152144432068},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.43282997608184814},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4165247678756714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22528591752052307},{"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/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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.3045631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3045631","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:33360992","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33360992","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/G4837339684","display_name":null,"funder_award_id":"61603291","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7870066573","display_name":null,"funder_award_id":"2018ZX01008103","funder_id":"https://openalex.org/F4320335960","funder_display_name":"National Major Science and Technology Projects of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335960","display_name":"National Major Science and Technology Projects of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W49942714","https://openalex.org/W297461772","https://openalex.org/W1538422756","https://openalex.org/W1539831438","https://openalex.org/W1566135517","https://openalex.org/W1576597967","https://openalex.org/W1907775068","https://openalex.org/W2007972815","https://openalex.org/W2017995420","https://openalex.org/W2043545458","https://openalex.org/W2047244756","https://openalex.org/W2051549110","https://openalex.org/W2053913299","https://openalex.org/W2084983808","https://openalex.org/W2101324110","https://openalex.org/W2107887685","https://openalex.org/W2112796928","https://openalex.org/W2113573459","https://openalex.org/W2113855951","https://openalex.org/W2114994812","https://openalex.org/W2129932701","https://openalex.org/W2142109962","https://openalex.org/W2142674578","https://openalex.org/W2151103935","https://openalex.org/W2154415691","https://openalex.org/W2155904486","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2176433868","https://openalex.org/W2188403848","https://openalex.org/W2199534117","https://openalex.org/W2405459681","https://openalex.org/W2578069913","https://openalex.org/W2604723872","https://openalex.org/W2604983939","https://openalex.org/W2605058302","https://openalex.org/W2608113074","https://openalex.org/W2741576990","https://openalex.org/W2742098698","https://openalex.org/W2752190933","https://openalex.org/W2782764482","https://openalex.org/W2800761708","https://openalex.org/W2803104255","https://openalex.org/W2891953767","https://openalex.org/W2893652381","https://openalex.org/W2896169497","https://openalex.org/W2921065608","https://openalex.org/W2943996654","https://openalex.org/W2949579163","https://openalex.org/W2997739739","https://openalex.org/W3002166600","https://openalex.org/W3099865281","https://openalex.org/W4213009331","https://openalex.org/W4285719527","https://openalex.org/W6601987920","https://openalex.org/W6610472804","https://openalex.org/W6675134712","https://openalex.org/W6676180653","https://openalex.org/W6677309079","https://openalex.org/W6682991666","https://openalex.org/W6685357932","https://openalex.org/W6686938447","https://openalex.org/W6732440071","https://openalex.org/W6735994599","https://openalex.org/W6736218809","https://openalex.org/W6736478151","https://openalex.org/W6741863821","https://openalex.org/W7074671674"],"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":{"The":[0],"rapid":[1],"growth":[2],"of":[3,6,16,45,62,79,89,93,119,139,171,246],"the":[4,14,42,60,80,87,121,164,168,172,177,182,197,202,215,235,239,244,247,255,275],"number":[5],"data":[7,38,153,267],"brings":[8],"great":[9],"challenges":[10,31],"to":[11,35,58,71,124,142,152,159,186,195],"clustering,":[12],"especially":[13],"introduction":[15],"multi-view":[17,53,95,104],"data,":[18,65,101],"which":[19,147,180],"collected":[20],"from":[21,163,201],"multiple":[22,27],"sources":[23],"or":[24],"represented":[25],"by":[26,228],"features,":[28],"makes":[29,181],"these":[30],"more":[32],"arduous.":[33],"How":[34],"clustering":[36,48,63,105,248],"large-scale":[37,47,64,100],"efficiently":[39],"has":[40],"become":[41],"hottest":[43],"topic":[44],"current":[46],"tasks.":[49],"Although":[50],"several":[51],"accelerated":[52],"methods":[54,96],"have":[55],"been":[56],"proposed":[57,114,194],"improve":[59,274],"efficiency":[61,77,245,276],"they":[66],"still":[67],"cannot":[68],"be":[69,125,143,226,251],"applied":[70],"some":[72],"scenarios":[73],"that":[74,224],"require":[75],"high":[76,81,90],"because":[78],"computational":[82,91,256],"complexity.":[83],"To":[84],"cope":[85],"with":[86,99,234],"issue":[88],"complexity":[92,257],"existing":[94],"when":[97,277],"dealing":[98],"a":[102,136],"fast":[103,241],"model":[106,141,183,237],"via":[107],"nonnegative":[108,126,129],"and":[109,130,238,254],"orthogonal":[110,131],"factorization":[111,132],"(FMCNOF)":[112],"is":[113,174,193,258],"in":[115],"this":[116,140],"paper.":[117],"Instead":[118],"constraining":[120],"factor":[122,137,165],"matrices":[123],"as":[127],"traditional":[128,203],"(NOF),":[133],"we":[134],"constrain":[135],"matrix":[138,146,209,231],"cluster":[144,150,161],"indicator":[145],"can":[148,213,225,250,272],"assign":[149],"labels":[151],"directly":[154],"without":[155],"extra":[156],"post-processing":[157],"step":[158],"extract":[160],"structures":[162],"matrix.":[166],"Meanwhile,":[167],"F-norm":[169],"instead":[170],"L2-norm":[173],"utilized":[175],"on":[176,264],"FMCNOF":[178,198,236],"model,":[179],"very":[184],"easy":[185],"optimize.":[187],"Furthermore,":[188],"an":[189],"efficient":[190],"optimization":[191,205,216,242],"algorithm":[192,206,212],"solve":[196],"model.":[199],"Different":[200],"NOF":[204],"requiring":[207],"dense":[208],"multiplications,":[210],"our":[211,270],"divide":[214],"problem":[217],"into":[218],"three":[219],"decoupled":[220],"small":[221],"size":[222],"subproblems":[223],"solved":[227],"much":[229],"less":[230],"multiplications.":[232],"Combined":[233],"corresponding":[240],"method,":[243],"process":[249],"significantly":[252],"improved,":[253],"nearly":[259],"O(n)":[260],".":[261],"Extensive":[262],"experiments":[263],"various":[265],"benchmark":[266],"sets":[268],"validate":[269],"approach":[271],"greatly":[273],"achieve":[278],"acceptable":[279],"performance.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}