{"id":"https://openalex.org/W3011226933","doi":"https://doi.org/10.1109/tnnls.2020.2977497","title":"Continual Multiview Task Learning via Deep Matrix Factorization","display_name":"Continual Multiview Task Learning via Deep Matrix Factorization","publication_year":2020,"publication_date":"2020-03-17","ids":{"openalex":"https://openalex.org/W3011226933","doi":"https://doi.org/10.1109/tnnls.2020.2977497","mag":"3011226933","pmid":"https://pubmed.ncbi.nlm.nih.gov/32175877"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2977497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2977497","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5031333887","display_name":"Gan Sun","orcid":"https://orcid.org/0000-0003-1111-6909"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Gan Sun","raw_affiliation_strings":["Northeastern University, Boston, MA, USA","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006477225","display_name":"Yang Cong","orcid":"https://orcid.org/0000-0002-5102-0189"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cong","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074865219","display_name":"Yulun Zhang","orcid":"https://orcid.org/0000-0002-2288-5079"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yulun Zhang","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079805574","display_name":"Guoshuai Zhao","orcid":"https://orcid.org/0000-0003-4392-8450"},"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":"Guoshuai Zhao","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Software Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA","Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031333887"],"corresponding_institution_ids":["https://openalex.org/I12912129","https://openalex.org/I142078773","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":4.7722,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.9575275,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"32","issue":"1","first_page":"139","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9955000281333923,"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/T12676","display_name":"Machine Learning and ELM","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7505571842193604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572319269180298},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6059921383857727},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5968115925788879},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5924860835075378},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5804620981216431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5182706713676453},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5106623768806458},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5039452910423279},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4811228811740875},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43461713194847107},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4257551431655884},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07521948218345642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505571842193604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572319269180298},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6059921383857727},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5968115925788879},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5924860835075378},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5804620981216431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5182706713676453},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5106623768806458},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5039452910423279},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4811228811740875},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43461713194847107},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4257551431655884},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07521948218345642},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002965","descriptor_name":"Classification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002965","descriptor_name":"Classification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002965","descriptor_name":"Classification","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012574","descriptor_name":"Schools","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012574","descriptor_name":"Schools","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012574","descriptor_name":"Schools","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2020.2977497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2977497","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32175877","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32175877","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:ir.sia.cn/:173321/29032","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/29032","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1600926656","display_name":null,"funder_award_id":"61722311","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2389678321","display_name":null,"funder_award_id":"U1613214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3507080720","display_name":null,"funder_award_id":"61821005","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":59,"referenced_works":["https://openalex.org/W2466795","https://openalex.org/W1513681384","https://openalex.org/W1519626139","https://openalex.org/W1560550898","https://openalex.org/W1821462560","https://openalex.org/W1942758450","https://openalex.org/W1993962865","https://openalex.org/W2027922120","https://openalex.org/W2030161963","https://openalex.org/W2032612424","https://openalex.org/W2035299679","https://openalex.org/W2054659037","https://openalex.org/W2072942628","https://openalex.org/W2094919853","https://openalex.org/W2100556411","https://openalex.org/W2103024562","https://openalex.org/W2103958034","https://openalex.org/W2126116132","https://openalex.org/W2158703881","https://openalex.org/W2171837816","https://openalex.org/W2233602554","https://openalex.org/W2250901552","https://openalex.org/W2578423033","https://openalex.org/W2583200575","https://openalex.org/W2604405260","https://openalex.org/W2606854773","https://openalex.org/W2741178908","https://openalex.org/W2783905839","https://openalex.org/W2788313038","https://openalex.org/W2788388592","https://openalex.org/W2791716598","https://openalex.org/W2897024124","https://openalex.org/W2906715444","https://openalex.org/W2907897631","https://openalex.org/W2913340405","https://openalex.org/W2963018216","https://openalex.org/W2963209029","https://openalex.org/W2963540014","https://openalex.org/W2964048876","https://openalex.org/W2990654629","https://openalex.org/W2997267777","https://openalex.org/W2998685375","https://openalex.org/W3021931813","https://openalex.org/W3114319482","https://openalex.org/W6631089601","https://openalex.org/W6633555322","https://openalex.org/W6638523607","https://openalex.org/W6640786210","https://openalex.org/W6675894326","https://openalex.org/W6678739253","https://openalex.org/W6683255826","https://openalex.org/W6689934723","https://openalex.org/W6691424587","https://openalex.org/W6732354512","https://openalex.org/W6735520713","https://openalex.org/W6742852309","https://openalex.org/W6748613090","https://openalex.org/W6760088375","https://openalex.org/W6771743384"],"related_works":["https://openalex.org/W2237537322","https://openalex.org/W2950678851","https://openalex.org/W4301248618","https://openalex.org/W2165343651","https://openalex.org/W2343790552","https://openalex.org/W2242427765","https://openalex.org/W2075830955","https://openalex.org/W4309969809","https://openalex.org/W3111398917","https://openalex.org/W4385507578"],"abstract_inverted_index":{"The":[0],"state-of-the-art":[1,203],"multitask":[2],"multiview":[3,32,71,93,102,123,129,166,172,207],"(MTMV)":[4],"learning":[5,57,73,83,95,139,167,209],"tackles":[6],"a":[7,28,51,68,85,100,108,132,136,156,164,170],"scenario":[8],"where":[9,27],"multiple":[10,18],"tasks":[11,45],"are":[12],"related":[13],"to":[14,113,181],"each":[15,148],"other":[16],"via":[17,155],"shared":[19],"feature":[20],"views.":[21],"However,":[22],"in":[23,63,84,131],"many":[24],"real-world":[25],"scenarios":[26],"sequence":[29],"of":[30,42,194],"the":[31,35,127,144,192,201],"task":[33,72,94,103,124,173,208],"comes,":[34],"higher":[36],"storage":[37],"requirement":[38],"and":[39,80,116,150,175,205],"computational":[40],"cost":[41],"retraining":[43],"previous":[44],"with":[46,200],"MTMV":[47,204],"models":[48],"have":[49],"presented":[50],"formidable":[52],"challenge":[53],"for":[54,119,143],"this":[55,61,64,120],"lifelong":[56,183,206],"scenario.":[58],"To":[59],"address":[60],"challenge,":[62],"article,":[65],"we":[66,162],"propose":[67],"new":[69,101,121,171],"continual":[70,92],"model":[74,140,160,198],"that":[75],"integrates":[76],"deep":[77,91,109],"matrix":[78,110],"factorization":[79,111],"sparse":[81,137],"subspace":[82,138],"unified":[86],"framework,":[87],"which":[88],"is":[89,141],"termed":[90],"(DCMvTL).":[96],"More":[97],"specifically,":[98],"as":[99],"arrives,":[104],"DCMvTL":[105,197],"first":[106],"adopts":[107],"technique":[112],"capture":[114],"hidden":[115],"hierarchical":[117],"representations":[118],"coming":[122],"while":[125],"accumulating":[126],"fresh":[128],"knowledge":[130],"layerwise":[133],"manner.":[134],"Then,":[135],"employed":[142],"extracted":[145],"factors":[146],"at":[147],"layer":[149],"further":[151],"reveals":[152],"cross-view":[153],"correlations":[154],"self-expressive":[157],"constraint.":[158],"For":[159],"optimization,":[161],"derive":[163],"general":[165],"formulation":[168],"when":[169],"comes":[174],"apply":[176],"an":[177],"alternating":[178],"minimization":[179],"strategy":[180],"achieve":[182],"learning.":[184],"Extensive":[185],"experiments":[186],"on":[187],"benchmark":[188],"data":[189],"sets":[190],"demonstrate":[191],"effectiveness":[193],"our":[195],"proposed":[196],"compared":[199],"existing":[202],"models.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}