{"id":"https://openalex.org/W2012260009","doi":"https://doi.org/10.1109/tmm.2011.2174781","title":"Parallel Lasso for Large-Scale Video Concept Detection","display_name":"Parallel Lasso for Large-Scale Video Concept Detection","publication_year":2011,"publication_date":"2011-11-04","ids":{"openalex":"https://openalex.org/W2012260009","doi":"https://doi.org/10.1109/tmm.2011.2174781","mag":"2012260009"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2011.2174781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2011.2174781","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5113622064","display_name":"Bo Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Geng","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067941891","display_name":"Yangxi Li","orcid":"https://orcid.org/0000-0002-1401-4054"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangxi Li","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Centre of Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia","[Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210096034"]},{"raw_affiliation_string":"[Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","School of Computer & Information, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer & Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","Sch. of Comput. Nat., Univ. of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Sch. of Comput. Nat., Univ. of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102916885","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-6522-0982"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Lab. of Machine Perception (Minist. of Educ.), Peking Univ., Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5738,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94536079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"14","issue":"1","first_page":"55","last_page":"65"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9980999827384949,"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/scalability","display_name":"Scalability","score":0.6511915326118469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.648600697517395},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.638391375541687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49770453572273254},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45154285430908203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38709285855293274},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11492520570755005},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09388241171836853}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6511915326118469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.648600697517395},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.638391375541687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49770453572273254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45154285430908203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38709285855293274},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11492520570755005},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09388241171836853}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmm.2011.2174781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2011.2174781","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/39335","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/39335","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/22886","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/22886","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W38891395","https://openalex.org/W1512098439","https://openalex.org/W1766432634","https://openalex.org/W1969468690","https://openalex.org/W2006201450","https://openalex.org/W2006273854","https://openalex.org/W2012619263","https://openalex.org/W2018184190","https://openalex.org/W2021861689","https://openalex.org/W2027197817","https://openalex.org/W2030979569","https://openalex.org/W2050782125","https://openalex.org/W2051065934","https://openalex.org/W2061572659","https://openalex.org/W2062879799","https://openalex.org/W2063978378","https://openalex.org/W2069959554","https://openalex.org/W2085860938","https://openalex.org/W2087937280","https://openalex.org/W2089150756","https://openalex.org/W2090561883","https://openalex.org/W2095609079","https://openalex.org/W2097360283","https://openalex.org/W2099262739","https://openalex.org/W2102760656","https://openalex.org/W2109722477","https://openalex.org/W2115729631","https://openalex.org/W2124386111","https://openalex.org/W2135046866","https://openalex.org/W2137117795","https://openalex.org/W2137557016","https://openalex.org/W2142126424","https://openalex.org/W2147007902","https://openalex.org/W2148603752","https://openalex.org/W2159436955","https://openalex.org/W2160185571","https://openalex.org/W2161969291","https://openalex.org/W2164736477","https://openalex.org/W2167006894","https://openalex.org/W2296319761","https://openalex.org/W3001495003","https://openalex.org/W3022380717","https://openalex.org/W4235239134","https://openalex.org/W4247649469","https://openalex.org/W4250589301","https://openalex.org/W4251491512","https://openalex.org/W4294541781","https://openalex.org/W4296262844","https://openalex.org/W4312960235","https://openalex.org/W6657248855","https://openalex.org/W6676367512","https://openalex.org/W6684350518"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4362499101","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Existing":[0],"video":[1,332],"concept":[2,333],"detectors":[3,351],"are":[4],"generally":[5],"built":[6],"upon":[7],"the":[8,36,41,45,51,65,72,88,95,99,103,109,114,140,206,214,224,234,238,243,291,338],"kernel":[9,235],"based":[10],"machine":[11],"learning":[12,37],"techniques,":[13],"e.g.,":[14],"support":[15],"vector":[16],"machines,":[17],"regularized":[18,83],"least":[19,84],"squares,":[20],"and":[21,50,102,156,190,213,247,253,290,345],"logistic":[22],"regression,":[23],"just":[24],"to":[25,32,69,93,112,171,271,306],"name":[26],"a":[27,118,126,320],"few.":[28],"However,":[29],"in":[30,98,125],"order":[31],"build":[33],"robust":[34],"detectors,":[35],"process":[38],"suffers":[39],"from":[40,139,259,294],"scalability":[42,73],"issues":[43],"including":[44],"high-dimensional":[46],"multi-modality":[47],"visual":[48],"features":[49],"large-scale":[52],"keyframe":[53],"examples.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,232,248],"propose":[59],"parallel":[60,66,89,104],"lasso":[61,75],"(Plasso)":[62],"by":[63],"introducing":[64],"distributed":[67],"computation":[68],"significantly":[70,136],"improve":[71],"of":[74,237],"(the":[76],"<i":[77,121,127,142,146,157,161,172,176,182,186,191,195,199,209,217,227,260,264,272,276,282,286,295,299,307,311,315,323],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[78,81,122,128,143,147,150,158,162,165,173,177,180,183,187,192,196,200,210,218,228,261,265,268,273,277,280,283,287,296,300,303,308,312,316,324],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[79],"<sub":[80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[82],"squares).":[85],"We":[86],"apply":[87],"incomplete":[90],"Cholesky":[91],"factorization":[92],"approximate":[94],"covariance":[96],"statistics":[97],"preprocess":[100],"step,":[101],"primal-dual":[105],"interior-point":[106],"method":[107,340],"with":[108,120,133,242,322,352],"Sherman-Morrison-Woodbury":[110],"formula":[111],"optimize":[113],"model":[115],"parameters.":[116],"For":[117],"dataset":[119,321],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</i>":[123,266,284,301,325],"samples":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">d</i>":[129,148,163,184,229],"-dimensional":[130],"space,":[131],"compared":[132],"lasso,":[134],"Plasso":[135],"reduces":[137],"complexities":[138],"original":[141,225],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">O</i>":[144,159,174,193,262,274,297,309],"(":[145,160,175,194,263,275,298,310],"<sup":[149,164,179,267,279,302],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[151,269],")":[152,167,189,202,270,289,305],"for":[153,168,319,348],"computational":[154],"time":[155,252,344],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[166,181,281,304],"storage":[169],"space":[170,254,292,346],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">h</i>":[178,219,278],"/":[185,198,285,314],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</i>":[188,201,211,288,317],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">hd</i>":[197],",":[203],"respectively,":[204],"if":[205],"system":[207],"has":[208],"processors":[212],"reduced":[215],"dimension":[216,226],"is":[220],"much":[221],"smaller":[222],"than":[223],".":[230],"Furthermore,":[231],"develop":[233],"extension":[236],"proposed":[239,339],"linear":[240],"algorithm":[241],"sample":[244],"reweighting":[245],"schema,":[246],"can":[249,341],"achieve":[250],"similar":[251],"complexity":[255,258,293],"improvements":[256],"[time":[257],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">hn</i>":[313],"),":[318],"training":[326,349],"examples].":[327],"Experimental":[328],"results":[329],"on":[330],"TRECVID":[331],"detection":[334],"challenges":[335],"suggest":[336],"that":[337],"obtain":[342],"significant":[343],"savings":[347],"effective":[350],"limited":[353],"communication":[354],"overhead.":[355]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
