{"id":"https://openalex.org/W2122061064","doi":"https://doi.org/10.1145/1835804.1835951","title":"Nonnegative shared subspace learning and its application to social media retrieval","display_name":"Nonnegative shared subspace learning and its application to social media retrieval","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W2122061064","doi":"https://doi.org/10.1145/1835804.1835951","mag":"2122061064"},"language":"en","primary_location":{"id":"doi:10.1145/1835804.1835951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Nonnegative_shared_subspace_learning_and_its_application_to_social_media_retrieval/20992975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101472308","display_name":"Sunil Gupta","orcid":"https://orcid.org/0000-0002-3308-1930"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sunil Kumar Gupta","raw_affiliation_strings":["Curtin University of Technology, Perth, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Curtin University of Technology, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036447132","display_name":"Dinh Phung","orcid":"https://orcid.org/0000-0002-9977-8247"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dinh Phung","raw_affiliation_strings":["Curtin University of Technology, Perth, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Curtin University of Technology, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110760243","display_name":"Brett Adams","orcid":null},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Brett Adams","raw_affiliation_strings":["Curtin University of Technology, Perth, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Curtin University of Technology, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085471517","display_name":"Truyen Tran","orcid":"https://orcid.org/0000-0001-6531-8907"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Truyen Tran","raw_affiliation_strings":["Curtin University of Technology, Perth, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Curtin University of Technology, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045540854","display_name":"Svetha Venkatesh","orcid":"https://orcid.org/0000-0001-8675-6631"},"institutions":[{"id":"https://openalex.org/I205640436","display_name":"Curtin University","ror":"https://ror.org/02n415q13","country_code":"AU","type":"education","lineage":["https://openalex.org/I205640436"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Svetha Venkatesh","raw_affiliation_strings":["Curtin University of Technology, Perth, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Curtin University of Technology, Perth, Australia","institution_ids":["https://openalex.org/I205640436"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205640436"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1169","last_page":"1178"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"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":0.9968000054359436,"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":0.8667153716087341},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7337214946746826},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6701003909111023},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6531925797462463},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6180105209350586},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4995124340057373},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43138349056243896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3437609076499939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3276769518852234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2228890359401703}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8667153716087341},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7337214946746826},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6701003909111023},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6531925797462463},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6180105209350586},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4995124340057373},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43138349056243896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3437609076499939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3276769518852234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2228890359401703},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1835804.1835951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.3452","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.3452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://prada-research.net/%7Etruyen/papers/gupta_kdd10.pdf","raw_type":"text"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30044538","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1145/1835804.1835951","pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/17861","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/17861","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20992975","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Nonnegative_shared_subspace_learning_and_its_application_to_social_media_retrieval/20992975","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20992975","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Nonnegative_shared_subspace_learning_and_its_application_to_social_media_retrieval/20992975","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1975077471","https://openalex.org/W1978394996","https://openalex.org/W1990843604","https://openalex.org/W2049633694","https://openalex.org/W2079196839","https://openalex.org/W2090854212","https://openalex.org/W2100235303","https://openalex.org/W2102775690","https://openalex.org/W2103467726","https://openalex.org/W2110764733","https://openalex.org/W2113359929","https://openalex.org/W2115733720","https://openalex.org/W2118718620","https://openalex.org/W2122922389","https://openalex.org/W2123023352","https://openalex.org/W2132276817","https://openalex.org/W2135029798","https://openalex.org/W2150032155","https://openalex.org/W2152486290","https://openalex.org/W2152504009","https://openalex.org/W2159732565","https://openalex.org/W2160964549","https://openalex.org/W2161258050","https://openalex.org/W2165698076","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W4255554660","https://openalex.org/W6680012447","https://openalex.org/W7011740287"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Although":[0],"tagging":[1,175],"has":[2,49,162],"become":[3,50],"increasingly":[4,52],"popular":[5],"in":[6,97,135],"online":[7],"image":[8,130,146],"and":[9,21,120,131,153,168,206],"video":[10,132,154],"sharing":[11,103],"systems,":[12],"tags":[13,137],"are":[14,142],"known":[15],"to":[16,66,71,144,166,177,191,199],"be":[17,105],"noisy,":[18],"ambiguous,":[19],"incomplete":[20],"subjective.":[22],"These":[23],"factors":[24],"can":[25,104],"seriously":[26],"affect":[27],"the":[28,39,88,99,115,127,139,201],"precision":[29,40],"of":[30,42,101,123,194],"a":[31,61,68,76,84,92,150,158,192],"social":[32,44,180],"tag-based":[33,45],"web":[34,46,181],"retrieval":[35,47,73,133,147,155,182],"system.":[36,183],"Therefore":[37],"improving":[38],"performance":[41,74,148,156],"these":[43],"systems":[48],"an":[51,110],"important":[53],"research":[54],"topic.":[55],"To":[56],"this":[57],"end,":[58],"we":[59],"propose":[60],"shared":[62,85,185],"subspace":[63,86,102,186],"learning":[64,83,114,187],"framework":[65,128,188],"leverage":[67],"secondary":[69],"source":[70],"improve":[72,145,178],"from":[75,138,149,157,171],"primary":[77],"dataset.":[78,160],"This":[79,161],"is":[80,189],"achieved":[81],"by":[82],"between":[87],"two":[89],"sources":[90],"under":[91],"joint":[93],"Nonnegative":[94],"Matrix":[95],"Factorization":[96],"which":[98,136],"level":[100],"explicitly":[106],"controlled.":[107],"We":[108,125],"derive":[109],"efficient":[111],"algorithm":[112],"for":[113,164],"factorization,":[116],"analyze":[117],"its":[118],"complexity,":[119],"provide":[121],"proof":[122],"convergence.":[124],"validate":[126],"on":[129],"tasks":[134],"LabelMe":[140],"dataset":[141,152],"used":[143],"Flickr":[151],"YouTube":[159],"implications":[163],"how":[165],"exploit":[167,200],"transfer":[169],"knowledge":[170],"readily":[172],"available":[173],"auxiliary":[174],"resources":[176],"another":[179],"Our":[184],"applicable":[190],"range":[193],"problems":[195],"where":[196],"one":[197],"needs":[198],"strengths":[202],"existing":[203],"among":[204],"multiple":[205],"heterogeneous":[207],"datasets.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}