{"id":"https://openalex.org/W3099183477","doi":"https://doi.org/10.1109/tip.2020.3036717","title":"iCmSC: Incomplete Cross-Modal Subspace Clustering","display_name":"iCmSC: Incomplete Cross-Modal Subspace Clustering","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3099183477","doi":"https://doi.org/10.1109/tip.2020.3036717","mag":"3099183477","pmid":"https://pubmed.ncbi.nlm.nih.gov/33186106"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3036717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3036717","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0003-2998-6582"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Key Lab of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0003-2998-6582","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Key Lab of Ministry of Education of Intellisense and Image Understanding, School of Telecommunication Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077630145","display_name":"Huanhuan Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Lian","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031333887","display_name":"Gan Sun","orcid":"https://orcid.org/0000-0003-1111-6909"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gan Sun","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0001-5082-2940","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Lab of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Lab of Ministry of Education of Intellisense and Image Understanding, School of Artificial Intelligence, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.6289,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.94411049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"305","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T10860","display_name":"Speech and Audio Processing","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7211642265319824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6232420802116394},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6096785068511963},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5775647163391113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.561751127243042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5143450498580933},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5077584981918335},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4973173439502716},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.4274791181087494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3855176568031311}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7211642265319824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6232420802116394},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6096785068511963},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5775647163391113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.561751127243042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5143450498580933},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5077584981918335},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4973173439502716},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.4274791181087494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3855176568031311},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2020.3036717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3036717","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33186106","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33186106","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:ir.sia.cn/:173321/28428","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/28428","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3072040313","display_name":null,"funder_award_id":"2020JZ-19","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G3666459977","display_name":null,"funder_award_id":"2019M663642","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5516921109","display_name":null,"funder_award_id":"61906141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6304910582","display_name":null,"funder_award_id":"61773302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6468198167","display_name":null,"funder_award_id":"2020JQ-317","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G7915976755","display_name":null,"funder_award_id":"2019M653564","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8483022372","display_name":null,"funder_award_id":"2020JQ-327","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"}],"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"},{"id":"https://openalex.org/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"},{"id":"https://openalex.org/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W881606563","https://openalex.org/W1497960466","https://openalex.org/W1522301498","https://openalex.org/W1523385540","https://openalex.org/W1879834137","https://openalex.org/W1925193522","https://openalex.org/W2007972815","https://openalex.org/W2022398331","https://openalex.org/W2050997020","https://openalex.org/W2083095455","https://openalex.org/W2093192785","https://openalex.org/W2099471712","https://openalex.org/W2123333253","https://openalex.org/W2128603141","https://openalex.org/W2154415691","https://openalex.org/W2154478709","https://openalex.org/W2155797815","https://openalex.org/W2156483112","https://openalex.org/W2165874743","https://openalex.org/W2169658215","https://openalex.org/W2181159407","https://openalex.org/W2254691124","https://openalex.org/W2316082076","https://openalex.org/W2572663323","https://openalex.org/W2579597427","https://openalex.org/W2593434822","https://openalex.org/W2604120189","https://openalex.org/W2608812095","https://openalex.org/W2736773830","https://openalex.org/W2795832645","https://openalex.org/W2797653144","https://openalex.org/W2808177501","https://openalex.org/W2809201693","https://openalex.org/W2809410879","https://openalex.org/W2898233200","https://openalex.org/W2901373116","https://openalex.org/W2903963428","https://openalex.org/W2906529026","https://openalex.org/W2906715444","https://openalex.org/W2945288617","https://openalex.org/W2946868173","https://openalex.org/W2962793481","https://openalex.org/W2963097270","https://openalex.org/W2963111938","https://openalex.org/W2963165461","https://openalex.org/W2963365397","https://openalex.org/W2963517422","https://openalex.org/W2964121744","https://openalex.org/W2964809302","https://openalex.org/W2965787265","https://openalex.org/W2966840649","https://openalex.org/W2970947021","https://openalex.org/W2970948008","https://openalex.org/W3007910141","https://openalex.org/W3008561560","https://openalex.org/W3011226933","https://openalex.org/W3012997402","https://openalex.org/W3118608800","https://openalex.org/W4300585208","https://openalex.org/W4320013936","https://openalex.org/W6608209381","https://openalex.org/W6623954603","https://openalex.org/W6629823275","https://openalex.org/W6631190155","https://openalex.org/W6631216910","https://openalex.org/W6678256346","https://openalex.org/W6682991666","https://openalex.org/W6683120131","https://openalex.org/W6684578312","https://openalex.org/W6685423869","https://openalex.org/W6691772672","https://openalex.org/W6730107233","https://openalex.org/W6731811539","https://openalex.org/W6731815755","https://openalex.org/W6733365019","https://openalex.org/W6744043827","https://openalex.org/W6752355065","https://openalex.org/W6767380147","https://openalex.org/W6775301722","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W4205463238","https://openalex.org/W1565185441","https://openalex.org/W259157601","https://openalex.org/W2761785940","https://openalex.org/W2093195256","https://openalex.org/W2154562908","https://openalex.org/W2155796846"],"abstract_inverted_index":{"Cross-modal":[0,74],"clustering":[1,48,62],"aims":[2],"to":[3,129,151,160],"cluster":[4,149],"the":[5,14,18,32,47,53,91,111,126,131,147,155,162,168,172,177,181,184,201],"high-similar":[6],"cross-modal":[7,20,35,41,61,87,174],"data":[8,36],"into":[9],"one":[10],"group":[11],"while":[12,103],"separating":[13],"dissimilar":[15],"data.":[16,175],"Despite":[17],"promising":[19],"methods":[21],"have":[22],"developed":[23],"in":[24,125],"recent":[25],"years,":[26],"existing":[27],"state-of-the-arts":[28],"cannot":[29],"effectively":[30],"capture":[31],"correlations":[33,93],"between":[34,139],"when":[37],"encountering":[38],"with":[39,200],"incomplete":[40,60,73,86],"data,":[42,88],"which":[43,136,190],"can":[44,191],"gravely":[45],"degrade":[46],"performance.":[49],"To":[50,79,176],"well":[51],"tackle":[52],"above":[54],"scenario,":[55],"we":[56,89,179],"propose":[57],"a":[58,81,118],"novel":[59],"method":[63],"that":[64,193],"integrates":[65],"canonical":[66,99],"correlation":[67,100],"analysis":[68,101],"and":[69,144,165],"exclusive":[70,105,143],"representation,":[71,164],"named":[72],"Subspace":[75],"Clustering":[76],"(i.e.,":[77],"iCmSC).":[78],"learn":[80],"consistent":[82],"subspace":[83,128],"representation":[84,133],"among":[85,94,146,171],"maximize":[90],"intrinsic":[92],"different":[95,140],"modalities":[96],"by":[97],"deep":[98],"(DCCA),":[102],"an":[104],"self-expression":[106],"layer":[107],"is":[108],"proposed":[109,185],"after":[110],"output":[112],"layers":[113],"of":[114,183],"DCCA.":[115],"We":[116],"exploit":[117],"\u2113":[119],"<sub":[120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1,2</sub>":[122],"-norm":[123],"regularization":[124],"learned":[127,132],"make":[130],"more":[134],"discriminative,":[135],"makes":[137],"samples":[138,145],"clusters":[141],"mutually":[142],"same":[148],"attractive":[150],"each":[152],"other.":[153],"Meanwhile,":[154],"decoding":[156],"networks":[157],"are":[158],"employed":[159],"reconstruct":[161],"feature":[163],"further":[166],"preserve":[167],"structural":[169],"information":[170],"original":[173],"end,":[178],"demonstrate":[180],"effectiveness":[182],"iCmSC":[186,194],"via":[187],"extensive":[188],"experiments,":[189],"justify":[192],"achieves":[195],"consistently":[196],"large":[197],"improvement":[198],"compared":[199],"state-of-the-arts.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}
