{"id":"https://openalex.org/W1964810009","doi":"https://doi.org/10.1145/1873951.1874028","title":"Image tag refinement towards low-rank, content-tag prior and error sparsity","display_name":"Image tag refinement towards low-rank, content-tag prior and error sparsity","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W1964810009","doi":"https://doi.org/10.1145/1873951.1874028","mag":"1964810009"},"language":"en","primary_location":{"id":"doi:10.1145/1873951.1874028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074542180","display_name":"Guangyu Zhu","orcid":"https://orcid.org/0000-0001-9591-7564"},"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":"Guangyu Zhu","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"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":"Shuicheng Yan","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062841020","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0001-5485-419X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Ma","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","University of Illinois at Urbana Champaign, Urbana-Champaign, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana Champaign, Urbana-Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.4921,"has_fulltext":false,"cited_by_count":245,"citation_normalized_percentile":{"value":0.99510425,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314258813858032},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6845836639404297},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.633849024772644},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.612415611743927},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5343030691146851},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5033220648765564},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48667341470718384},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4847704768180847},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4471651017665863},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4377286732196808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.365686297416687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33082327246665955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3031849265098572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1761070191860199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314258813858032},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6845836639404297},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.633849024772644},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.612415611743927},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5343030691146851},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5033220648765564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48667341470718384},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4847704768180847},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4471651017665863},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4377286732196808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.365686297416687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33082327246665955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3031849265098572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1761070191860199},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1873951.1874028","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/70527","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/70527","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":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.175.8931","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.8931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://perception.csl.uiuc.edu/matrix-rank/Files/acm_mm10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1979972308","https://openalex.org/W1986723535","https://openalex.org/W2007972815","https://openalex.org/W2056974656","https://openalex.org/W2090854212","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2109943925","https://openalex.org/W2111993661","https://openalex.org/W2112793339","https://openalex.org/W2129758682","https://openalex.org/W2130660124","https://openalex.org/W2134270519","https://openalex.org/W2136040699","https://openalex.org/W2141691531","https://openalex.org/W2145607950","https://openalex.org/W2145962650","https://openalex.org/W2154202969","https://openalex.org/W2154771901","https://openalex.org/W2155613263","https://openalex.org/W2155803963","https://openalex.org/W2165828254","https://openalex.org/W2165897980","https://openalex.org/W2294281382","https://openalex.org/W2913081710","https://openalex.org/W3143107425","https://openalex.org/W3148981562","https://openalex.org/W6673253002"],"related_works":["https://openalex.org/W3144354057","https://openalex.org/W4301205717","https://openalex.org/W4288107728","https://openalex.org/W2788210652","https://openalex.org/W3103289951","https://openalex.org/W2972830027","https://openalex.org/W3213035342","https://openalex.org/W3093503721","https://openalex.org/W4294691692","https://openalex.org/W2789229307"],"abstract_inverted_index":{"The":[0],"vast":[1],"user-provided":[2,48],"image":[3,14],"tags":[4,20,117],"on":[5,187,194],"the":[6,37,47,71,85,89,143,149,184,207,210],"popular":[7],"photo":[8],"sharing":[9],"websites":[10],"may":[11],"greatly":[12],"facilitate":[13],"retrieval":[15],"and":[16,58,139,155,174,201],"management.":[17],"However,":[18],"these":[19,164],"are":[21,97],"often":[22],"imprecise":[23],"and/or":[24],"incomplete,":[25],"resulting":[26],"in":[27,30,122],"unsatisfactory":[28],"performances":[29],"tag":[31,38,49,101,113,150,212],"related":[32],"applications.":[33],"In":[34],"this":[35],"work,":[36],"refinement":[39,213],"problem":[40],"is":[41,80,146,153,181],"formulated":[42],"as":[43],"a":[44,53,59,168],"decomposition":[45],"of":[46,81,106,133,209],"matrix":[50,56,62,144,151],"D":[51,65,152],"into":[52],"low-rank":[54,82],"refined":[55],"A":[57,67,79],"sparse":[60,147,154],"error":[61,141],"E,":[63,69],"namely":[64],"=":[66],"+":[68],"targeting":[70],"optimality":[72],"measured":[73],"by":[74,129],"four":[75],"aspects:":[76],"1)":[77],"low-rank:":[78],"owing":[83],"to":[84],"semantic":[86],"correlations":[87],"among":[88],"tags;":[90],"2)":[91],"content":[92],"consistency:":[93],"if":[94,115],"two":[95,116,130,195],"images":[96,203],"visually":[98],"similar,":[99],"their":[100,125],"vectors":[102,105,132],"(i.e.,":[103],"column":[104],"A)":[107,134],"should":[108,135],"also":[109,136,156],"be":[110,137],"similar;":[111],"3)":[112],"correlation:":[114],"co-occur":[118],"with":[119,199],"high":[120],"frequency":[121,127],"general":[123],"images,":[124],"co-occurrence":[126],"(described":[128],"row":[131],"high;":[138],"4)":[140],"sparsity:":[142],"E":[145],"since":[148],"humans":[157],"can":[158],"provide":[159],"reasonably":[160],"accurate":[161],"tags.":[162],"All":[163],"components":[165],"finally":[166],"constitute":[167],"constrained":[169],"yet":[170],"convex":[171],"optimization":[172,185],"problem,":[173],"an":[175],"efficient":[176],"convergence":[177],"provable":[178],"iterative":[179],"procedure":[180],"proposed":[182,211],"for":[183],"based":[186],"accelerated":[188],"proximal":[189],"gradient":[190],"method.":[191],"Extensive":[192],"experiments":[193],"benchmark":[196],"Flickr":[197],"datasets,":[198],"25K":[200],"270K":[202],"respectively,":[204],"well":[205],"demonstrate":[206],"effectiveness":[208],"approach.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":44},{"year":2013,"cited_by_count":23},{"year":2012,"cited_by_count":25}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
