{"id":"https://openalex.org/W3014997433","doi":"https://doi.org/10.1109/lsp.2020.2983831","title":"Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification","display_name":"Low-Rank Regularized Deep Collaborative Matrix Factorization for Micro-Video Multi-Label Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3014997433","doi":"https://doi.org/10.1109/lsp.2020.2983831","mag":"3014997433"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2983831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2983831","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5033713097","display_name":"Yuting Su","orcid":"https://orcid.org/0000-0001-5165-204X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Su","raw_affiliation_strings":["School of Electronic and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5165-204X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083129638","display_name":"Daozheng Hong","orcid":"https://orcid.org/0009-0000-5798-3798"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daozheng Hong","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086004832","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-1539-6055"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Electical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000190108","display_name":"Peiguang Jing","orcid":"https://orcid.org/0000-0003-2648-7358"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiguang Jing","raw_affiliation_strings":["Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2648-7358","affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6642,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.86222303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"740","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9968000054359436,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.8413463234901428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121526002883911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5774415731430054},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5446559190750122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5432000160217285},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5166099667549133},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4939342141151428},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4662116467952728},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4455299973487854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4247349202632904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3302268981933594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3253089189529419},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24563175439834595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18674379587173462}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.8413463234901428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121526002883911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774415731430054},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5446559190750122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5166099667549133},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4939342141151428},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4662116467952728},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4455299973487854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4247349202632904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3302268981933594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3253089189529419},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24563175439834595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18674379587173462},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.2983831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2983831","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G2364286904","display_name":null,"funder_award_id":"61802277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4518603036","display_name":null,"funder_award_id":"2019M651038","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1522734439","https://openalex.org/W1648933886","https://openalex.org/W1777628566","https://openalex.org/W2052684427","https://openalex.org/W2089917999","https://openalex.org/W2103972604","https://openalex.org/W2108433027","https://openalex.org/W2145152441","https://openalex.org/W2183341477","https://openalex.org/W2273827415","https://openalex.org/W2547411571","https://openalex.org/W2605146283","https://openalex.org/W2740920897","https://openalex.org/W2751253323","https://openalex.org/W2758049963","https://openalex.org/W2765145408","https://openalex.org/W2766187676","https://openalex.org/W2804350820","https://openalex.org/W2897298014","https://openalex.org/W2899734633","https://openalex.org/W2914035724","https://openalex.org/W2953009528","https://openalex.org/W2964121793","https://openalex.org/W2982108874","https://openalex.org/W6603183647","https://openalex.org/W6636918297","https://openalex.org/W6736441558"],"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/W2075222291"],"abstract_inverted_index":{"Deep":[0],"matrix":[1,11,40],"factorization":[2,12,41,78],"can":[3],"be":[4],"regarded":[5],"as":[6],"an":[7],"extension":[8],"of":[9,60,65,128],"traditional":[10],"to":[13,44,55,86,124],"help":[14],"improve":[15],"applications":[16],"like":[17],"social":[18],"image":[19,22],"tag":[20],"refinement,":[21],"retrieval,":[23],"and":[24,68,74,95,97,120],"face":[25],"clustering.":[26],"Toward":[27],"this":[28,31],"tendency,":[29],"in":[30,145],"letter,":[32],"we":[33],"proposed":[34,52],"a":[35,111,135],"low-rank":[36,108],"regularized":[37],"deep":[38,70,101],"collaborative":[39],"(LRDCMF)":[42],"method":[43,53],"better":[45],"tackle":[46],"micro-video":[47,137],"multi-label":[48],"classification":[49],"tasks.":[50],"The":[51],"aims":[54],"collaboratively":[56],"learn":[57],"two":[58,69],"sets":[59],"factor":[61],"matrices":[62],"for":[63,72],"characterization":[64],"latent":[66,89,93],"attributes":[67,94],"representations":[71,102],"instances":[73,116],"labels,":[75],"respectively.":[76],"During":[77],"process,":[79],"the":[80,88,98],"inverse":[81],"covariance":[82],"constraints":[83],"are":[84,103],"exploited":[85],"capture":[87],"correlation":[90],"structures":[91],"among":[92],"labels":[96,121],"low-dimensional":[99],"intrinsic":[100],"ensured":[104],"by":[105],"further":[106],"considering":[107],"constraints.":[109],"Moreover,":[110],"triplet":[112],"term":[113],"that":[114],"connects":[115],"representations,":[117,119],"label":[118],"is":[122],"constructed":[123],"increase":[125],"discrimination":[126],"power":[127],"our":[129,140],"method.":[130],"Experimental":[131],"results":[132],"conducted":[133],"on":[134],"large-scale":[136],"dataset":[138],"illustrate":[139],"model":[141],"achieves":[142],"superior":[143],"performance":[144],"comparison":[146],"with":[147],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
