{"id":"https://openalex.org/W4226197763","doi":"https://doi.org/10.1145/3497749","title":"Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis","display_name":"Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W4226197763","doi":"https://doi.org/10.1145/3497749"},"language":"en","primary_location":{"id":"doi:10.1145/3497749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3497749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3497749","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3497749","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076433295","display_name":"Zixuan Li","orcid":"https://orcid.org/0000-0003-4735-794X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4735-794X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348689","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-2989-0679"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2989-0679","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","Department of Computer Science, State University of New York, New Paltz, USA"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, USA","institution_ids":["https://openalex.org/I157455823"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081439040","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0001-9392-2597"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9392-2597","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013859152","display_name":"Lydia Y. Chen","orcid":"https://orcid.org/0000-0002-4228-6735"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Lydia Chen","raw_affiliation_strings":["Department of Electric Engineering, Mathematics and Computer Science, Distributed Systems, Delft University of Technology, Delft, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4228-6735","affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Mathematics and Computer Science, Distributed Systems, Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","Department of Computer Science, State University of New York, New Paltz, USA"],"raw_orcid":"https://orcid.org/0000-0001-5224-4048","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2772,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67557094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"4","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9915000200271606,"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/T11478","display_name":"Caching and Content Delivery","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7873820066452026},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6472642421722412},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.595284640789032},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5642314553260803},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5427624583244324},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5295135974884033},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4896007180213928},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.48796457052230835},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4389984607696533},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43260079622268677},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.41820281744003296},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37011024355888367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35335326194763184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23598641157150269},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.20950251817703247},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.19696205854415894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10912570357322693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873820066452026},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6472642421722412},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.595284640789032},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5642314553260803},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5427624583244324},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5295135974884033},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4896007180213928},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.48796457052230835},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4389984607696533},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43260079622268677},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.41820281744003296},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37011024355888367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35335326194763184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23598641157150269},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.20950251817703247},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.19696205854415894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10912570357322693},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3497749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3497749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3497749","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3497749","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3497749","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3497749","source":{"id":"https://openalex.org/S4210185969","display_name":"ACM/IMS Transactions on Data Science","issn_l":"2577-3224","issn":["2577-3224","2691-1922"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM/IMS Transactions on Data Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4020465482","display_name":null,"funder_award_id":"61860206011, 62172157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4077217817","display_name":null,"funder_award_id":"2020YFB2104000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5157801058","display_name":null,"funder_award_id":"61860206011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5803154810","display_name":null,"funder_award_id":"407540_167266","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G7188592697","display_name":null,"funder_award_id":"CSC201906130109","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8332549413","display_name":null,"funder_award_id":"2020YFB2104000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8683450758","display_name":null,"funder_award_id":"62172157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226197763.pdf","grobid_xml":"https://content.openalex.org/works/W4226197763.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W38891395","https://openalex.org/W1879834137","https://openalex.org/W1913628733","https://openalex.org/W1994389483","https://openalex.org/W2051245758","https://openalex.org/W2081193615","https://openalex.org/W2108433027","https://openalex.org/W2121966774","https://openalex.org/W2124187902","https://openalex.org/W2145349611","https://openalex.org/W2163922914","https://openalex.org/W2165093166","https://openalex.org/W2280267672","https://openalex.org/W2285252321","https://openalex.org/W2297086932","https://openalex.org/W2340502990","https://openalex.org/W2396967885","https://openalex.org/W2494395359","https://openalex.org/W2494827994","https://openalex.org/W2508504774","https://openalex.org/W2515144511","https://openalex.org/W2534071615","https://openalex.org/W2547996451","https://openalex.org/W2559655401","https://openalex.org/W2566913073","https://openalex.org/W2586275201","https://openalex.org/W2588313843","https://openalex.org/W2589174826","https://openalex.org/W2595697910","https://openalex.org/W2604248105","https://openalex.org/W2605350416","https://openalex.org/W2612690371","https://openalex.org/W2614818206","https://openalex.org/W2642043218","https://openalex.org/W2725880948","https://openalex.org/W2753848078","https://openalex.org/W2756077905","https://openalex.org/W2766623924","https://openalex.org/W2769383089","https://openalex.org/W2802864907","https://openalex.org/W2804542971","https://openalex.org/W2808779432","https://openalex.org/W2884816079","https://openalex.org/W2895407936","https://openalex.org/W2908500813","https://openalex.org/W2911126749","https://openalex.org/W2911840101","https://openalex.org/W2914429466","https://openalex.org/W2922063420","https://openalex.org/W2950817225","https://openalex.org/W2963074844","https://openalex.org/W2963515132","https://openalex.org/W2967185126","https://openalex.org/W2969215180","https://openalex.org/W2983848182","https://openalex.org/W2990138404","https://openalex.org/W2996754048","https://openalex.org/W2999905431","https://openalex.org/W3005217247","https://openalex.org/W3113619479","https://openalex.org/W4212774754","https://openalex.org/W4231428164","https://openalex.org/W4256361765","https://openalex.org/W6766896254"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W4390394189","https://openalex.org/W2792706544","https://openalex.org/W3109911900","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031"],"abstract_inverted_index":{"Matrix":[0,69],"factorization":[1],"(MF)":[2],"can":[3,21,129,142,151,189,210],"extract":[4],"the":[5,10,13,23,53,63,66,77,97,131,144,147,153,156,193,219],"low-rank":[6,34,98],"features":[7],"and":[8,48,71,89,106,170,196],"integrate":[9],"information":[11],"of":[12,36,50,65,100,140,146,159],"data":[14,103,117],"manifold":[15],"distribution":[16],"from":[17],"high-dimensional":[18],"data,":[19,39],"which":[20,128,179],"consider":[22],"nonlinear":[24],"neighborhood":[25],"information.":[26],"Thus,":[27],"MF":[28,126],"has":[29],"drawn":[30],"wide":[31],"attention":[32],"for":[33,62,76,114,155,167],"analysis":[35,99],"sparse":[37,101,115,160],"big":[38,102,116,161],"e.g.,":[40,83],"Collaborative":[41],"Filtering":[42],"(CF)":[43],"Recommender":[44],"Systems,":[45],"Social":[46],"Networks,":[47],"Quality":[49],"Service.":[51],"However,":[52],"following":[54,132],"two":[55],"problems":[56],"exist:":[57],"(1)":[58,134],"huge":[59,73],"computational":[60,194],"overhead":[61,75,198],"construction":[64,145],"Graph":[67],"Similarity":[68],"(GSM)":[70],"(2)":[72,163],"memory":[74,197],"intermediate":[78],"GSM.":[79,148],"Therefore,":[80],"GSM-based":[81],"MF,":[82,85,88],"kernel":[84],"graph":[86],"regularized":[87],"so":[90],"on,":[91],"cannot":[92],"be":[93],"directly":[94],"applied":[95],"to":[96],"on":[104,173,181],"cloud":[105],"edge":[107],"platforms.":[108],"To":[109,164],"solve":[110,130],"this":[111],"intractable":[112],"problem":[113],"analysis,":[118],"we":[119,175],"propose":[120,177],"Locality":[121],"Sensitive":[122],"Hashing":[123],"(LSH)":[124],"aggregated":[125],"(LSH-MF),":[127],"problems:":[133],"The":[135],"proposed":[136],"probabilistic":[137],"projection":[138,158],"strategy":[139],"LSH-MF":[141,150,166],"avoid":[143],"Furthermore,":[149],"satisfy":[152],"requirement":[154],"accurate":[157],"data.":[162],"run":[165],"fine-grained":[168],"parallelization":[169],"online":[171],"learning":[172,207],"GPUs,":[174],"also":[176,200,217],"CULSH-MF,":[178],"works":[180],"CUDA":[182],"parallelization.":[183],"Experimental":[184],"results":[185],"show":[186],"that":[187],"CULSH-MF":[188,209],"not":[190,211],"only":[191,212],"reduce":[192],"time":[195,215],"but":[199,216],"obtain":[201],"higher":[202],"accuracy.":[203],"Compared":[204],"with":[205],"deep":[206],"models,":[208],"save":[213],"training":[214],"achieve":[218],"same":[220],"accuracy":[221],"performance.":[222]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
