{"id":"https://openalex.org/W2015861131","doi":"https://doi.org/10.1109/cvpr.2012.6247961","title":"Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels","display_name":"Robust Non-negative Graph Embedding: Towards noisy data, unreliable graphs, and noisy labels","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2015861131","doi":"https://doi.org/10.1109/cvpr.2012.6247961","mag":"2015861131"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/A5042324027","display_name":"Hanwang Zhang","orcid":"https://orcid.org/0000-0001-7374-8739"},"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":true,"raw_author_name":"Hanwang Zhang","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","School of Computing, National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]},{"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","School of Computing, National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of 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":["Electrical Computer Engineering, National University of Singapore, Singapore","Electrical Computer Engineering, National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Electrical Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Electrical Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"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/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":"Meng Wang","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","School of Computing, National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087041599","display_name":"Tat-Seng Chua","orcid":null},"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":"Tat-Seng Chua","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","School of Computing, National University of Singapore,"],"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Computing, National University of Singapore,","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042324027"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":3.02,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92168467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9904999732971191,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7059303522109985},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6867310404777527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.683178186416626},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.562605082988739},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5454897880554199},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.5218347907066345},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5151218771934509},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46624913811683655},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.43842217326164246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3836323022842407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3809959888458252},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35418304800987244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20090624690055847}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7059303522109985},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6867310404777527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683178186416626},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.562605082988739},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5454897880554199},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.5218347907066345},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5151218771934509},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46624913811683655},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.43842217326164246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3836323022842407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3809959888458252},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35418304800987244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20090624690055847},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/43332","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/43332","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W132730096","https://openalex.org/W1992633833","https://openalex.org/W2002469984","https://openalex.org/W2027922120","https://openalex.org/W2053090063","https://openalex.org/W2069959554","https://openalex.org/W2085927826","https://openalex.org/W2089489284","https://openalex.org/W2096761622","https://openalex.org/W2101117936","https://openalex.org/W2104447726","https://openalex.org/W2118718620","https://openalex.org/W2121647436","https://openalex.org/W2135029798","https://openalex.org/W2136171036","https://openalex.org/W2137402913","https://openalex.org/W2138451337","https://openalex.org/W2145962650","https://openalex.org/W2146398330","https://openalex.org/W2151999193","https://openalex.org/W2154872931","https://openalex.org/W2163318306","https://openalex.org/W2167403490","https://openalex.org/W2167686991","https://openalex.org/W3143596294","https://openalex.org/W3148981562","https://openalex.org/W6605304304","https://openalex.org/W6675479683","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6680343850","https://openalex.org/W6681815949","https://openalex.org/W6682468723","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W3030085148","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2123605750","https://openalex.org/W2912814903","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W1559483280","https://openalex.org/W2082479932"],"abstract_inverted_index":{"Non-negative":[0,13,45],"data":[1,144],"factorization":[2,145],"has":[3],"been":[4],"widely":[5],"used":[6],"recently.":[7],"However,":[8],"existing":[9],"techniques,":[10],"such":[11,104],"as":[12,87,89],"Graph":[14,46],"Embedding":[15,47],"(NGE),":[16],"often":[17],"suffer":[18],"from":[19],"noisy":[20,25],"data,":[21],"unreliable":[22,85],"graphs,":[23,86],"and":[24,57,76,92,133,140,146,156],"labels,":[26],"which":[27],"are":[28],"commonly":[29],"encountered":[30],"in":[31,38,53,95],"real-world":[32,131],"applications.":[33],"To":[34],"address":[35],"these":[36],"issues,":[37],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,101],"Robust":[44],"(RNGE)":[48],"framework.":[49],"The":[50,150],"joint":[51],"sparsity":[52],"both":[54,90],"graph":[55,112],"embedding":[56,113],"reconstruction":[58],"endues":[59],"the":[60,78,107,111,135,154],"robustness":[61,157],"of":[62,158],"RNGE.":[63,159],"We":[64,125],"develop":[65],"an":[66],"elegant":[67],"multiplicative":[68],"updating":[69],"solution":[70],"that":[71,105],"can":[72,115],"solve":[73],"RNGE":[74,81,99,137],"efficiently":[75],"prove":[77],"convergence":[79],"rigourously.":[80],"is":[82],"robust":[83,122],"to":[84,119,138],"well":[88],"sample":[91],"label":[93],"noises":[94],"training":[96],"data.":[97],"Moreover,":[98],"provides":[100],"general":[102],"formulation":[103],"all":[106],"algorithms":[108],"unified":[109],"with":[110],"framework":[114],"be":[116],"easily":[117],"extended":[118],"obtain":[120],"their":[121],"non-negative":[123,143],"solutions.":[124],"conduct":[126],"extensive":[127],"experiments":[128],"on":[129],"four":[130],"datasets":[132],"compared":[134],"proposed":[136],"NGE":[139],"other":[141],"representative":[142],"subspace":[147],"learning":[148],"methods.":[149],"experimental":[151],"results":[152],"demonstrate":[153],"effectiveness":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}