{"id":"https://openalex.org/W2804016075","doi":"https://doi.org/10.1109/tnnls.2018.2828699","title":"Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation","display_name":"Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation","publication_year":2018,"publication_date":"2018-05-17","ids":{"openalex":"https://openalex.org/W2804016075","doi":"https://doi.org/10.1109/tnnls.2018.2828699","mag":"2804016075","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994545"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2828699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2828699","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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":"https://openalex.org/A5078658353","display_name":"Wanqi Yang","orcid":"https://orcid.org/0000-0001-6727-6077"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqi Yang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6727-6077","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055917015","display_name":"Yinghuan Shi","orcid":"https://orcid.org/0000-0003-4534-7318"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghuan Shi","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4534-7318","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074250521","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-2488-1813"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2488-1813","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0961-0441","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101400128","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0001-8936-4270"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing Normal University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3031,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.89326149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"29","issue":"12","first_page":"6276","last_page":"6291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9987000226974487,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6943244934082031},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.682995080947876},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6683629751205444},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6308085918426514},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6209614872932434},{"id":"https://openalex.org/keywords/data-reduction","display_name":"Data reduction","score":0.4643815755844116},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4623931646347046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45288893580436707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4492987394332886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3419884443283081},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.252837598323822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2333756983280182},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15804892778396606}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6943244934082031},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.682995080947876},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6683629751205444},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6308085918426514},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6209614872932434},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.4643815755844116},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4623931646347046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45288893580436707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4492987394332886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3419884443283081},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.252837598323822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2333756983280182},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15804892778396606},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2018.2828699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2828699","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:29994545","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994545","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 neural networks and learning systems","raw_type":null},{"id":"pmh:oai:ro.uow.edu.au:eispapers1-2643","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers1/1641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part B","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3081127195","display_name":null,"funder_award_id":"1701157B","funder_id":"https://openalex.org/F4320335473","funder_display_name":"Postdoctoral Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4079316167","display_name":null,"funder_award_id":"61673203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5394304682","display_name":"\u9762\u5411\u5927\u6570\u636e\u7684\u77e5\u8bc6\u8868\u793a\u3001\u63a8\u7406\u3001\u5728\u7ebf\u5b66\u4e60\u7406\u8bba\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61432008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7667230098","display_name":null,"funder_award_id":"BK20171479","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8016224256","display_name":null,"funder_award_id":"61603193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335473","display_name":"Postdoctoral Science Foundation of Jiangsu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W45551751","https://openalex.org/W120692785","https://openalex.org/W141062567","https://openalex.org/W1487602158","https://openalex.org/W1550614472","https://openalex.org/W1591385104","https://openalex.org/W1593040460","https://openalex.org/W1736339626","https://openalex.org/W1937059634","https://openalex.org/W1948350624","https://openalex.org/W1948745668","https://openalex.org/W1972010412","https://openalex.org/W1972441438","https://openalex.org/W1996978148","https://openalex.org/W1997201895","https://openalex.org/W2007786430","https://openalex.org/W2008340903","https://openalex.org/W2009501510","https://openalex.org/W2010243644","https://openalex.org/W2013076218","https://openalex.org/W2035128422","https://openalex.org/W2037549374","https://openalex.org/W2037664838","https://openalex.org/W2056486364","https://openalex.org/W2070812954","https://openalex.org/W2071207147","https://openalex.org/W2079666190","https://openalex.org/W2089494389","https://openalex.org/W2090101874","https://openalex.org/W2090834590","https://openalex.org/W2091711928","https://openalex.org/W2097622337","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2105709960","https://openalex.org/W2110142955","https://openalex.org/W2110355775","https://openalex.org/W2112280891","https://openalex.org/W2128884519","https://openalex.org/W2129418188","https://openalex.org/W2129496455","https://openalex.org/W2129812935","https://openalex.org/W2134789674","https://openalex.org/W2135046866","https://openalex.org/W2142674578","https://openalex.org/W2145406564","https://openalex.org/W2145962650","https://openalex.org/W2146512693","https://openalex.org/W2147609908","https://openalex.org/W2149620660","https://openalex.org/W2154053567","https://openalex.org/W2154415691","https://openalex.org/W2156135524","https://openalex.org/W2158703881","https://openalex.org/W2158954093","https://openalex.org/W2159001013","https://openalex.org/W2164278908","https://openalex.org/W2171837816","https://openalex.org/W2181159407","https://openalex.org/W2182389027","https://openalex.org/W2328317224","https://openalex.org/W2344457357","https://openalex.org/W2398147772","https://openalex.org/W2398606097","https://openalex.org/W2399260173","https://openalex.org/W2407812036","https://openalex.org/W2464901370","https://openalex.org/W2476608201","https://openalex.org/W2524148322","https://openalex.org/W2572663323","https://openalex.org/W2588822028","https://openalex.org/W2745244513","https://openalex.org/W2746943580","https://openalex.org/W2951715301","https://openalex.org/W4292363360","https://openalex.org/W6601786222","https://openalex.org/W6604905834","https://openalex.org/W6605792473","https://openalex.org/W6632948052","https://openalex.org/W6635552349","https://openalex.org/W6635689683","https://openalex.org/W6640764873","https://openalex.org/W6672997307","https://openalex.org/W6675968127","https://openalex.org/W6676671045","https://openalex.org/W6679000042","https://openalex.org/W6679049889","https://openalex.org/W6681822384","https://openalex.org/W6682035934","https://openalex.org/W6682991666","https://openalex.org/W6683255826","https://openalex.org/W6685423869","https://openalex.org/W6686208198","https://openalex.org/W6712754916","https://openalex.org/W6713212944","https://openalex.org/W6719469850","https://openalex.org/W6727715437","https://openalex.org/W6731815755","https://openalex.org/W6743498268"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W4297787022","https://openalex.org/W2015540166","https://openalex.org/W1666143004","https://openalex.org/W78494858","https://openalex.org/W2949126640","https://openalex.org/W2071370397","https://openalex.org/W1993351602","https://openalex.org/W2170142494"],"abstract_inverted_index":{"For":[0,159],"dimension":[1,70,129],"reduction":[2,71,130],"on":[3,186],"multiview":[4,90,134,137,144,153],"data,":[5,42],"most":[6],"of":[7,37,49,161,189,235,247,256],"the":[8,35,50,82,121,163,167,171,230,236,241,245,249],"previous":[9,51],"studies":[10],"implicitly":[11],"take":[12],"an":[13,67,73],"assumption":[14,25],"that":[15,234],"all":[16,21],"samples":[17],"are":[18,175,222],"completed":[19],"in":[20,30,60,120],"views.":[22],"Nevertheless,":[23],"this":[24,77],"could":[26],"often":[27],"be":[28],"violated":[29],"real":[31],"applications":[32],"due":[33],"to":[34,41,55,94,169,182,233],"presence":[36],"noise,":[38],"limited":[39],"access":[40],"equipment":[43],"malfunction,":[44],"and":[45,107,150,166,195,204,206,218,251],"so":[46],"on.":[47],"Most":[48],"methods":[52,131,228],"will":[53],"cease":[54],"work":[56],"when":[57],"missing":[58,96],"values":[59],"one":[61],"or":[62],"multiple":[63],"views":[64],"occur,":[65],"thus":[66],"incomplete-data":[68],"oriented":[69],"becomes":[72],"important":[74],"issue.":[75],"To":[76],"end,":[78],"we":[79,125],"mathematically":[80],"formulate":[81],"above-mentioned":[83],"issue":[84],"as":[85],"sparse":[86,104,152],"low-rank":[87,105],"representation":[88],"through":[89],"subspace":[91,112,118,138,145],"(SRRS)":[92],"learning":[93,139,146],"impute":[95],"values,":[97],"by":[98,115],"jointly":[99],"measuring":[100],"intraview":[101],"relations":[102,109],"(via":[103],"representation)":[106],"interview":[108],"(through":[110],"common":[111],"representation).":[113],"Moreover,":[114],"exploiting":[116],"various":[117],"priors":[119],"proposed":[122],"SRRS":[123],"formulation,":[124],"develop":[126],"three":[127,187],"novel":[128],"for":[132],"incomplete":[133],"data:":[135],"1)":[136],"via":[140,147,156],"graph":[141],"embedding;":[142],"2)":[143],"structured":[148],"sparsity;":[149],"3)":[151],"feature":[154],"selection":[155],"rank":[157],"minimization.":[158],"each":[160,255],"them,":[162],"objective":[164],"function":[165],"algorithm":[168],"solve":[170],"resulting":[172],"optimization":[173],"problem":[174],"elaborated,":[176],"respectively.":[177],"We":[178],"perform":[179],"extensive":[180],"experiments":[181],"investigate":[183],"their":[184],"performance":[185,231],"types":[188],"tasks":[190],"including":[191],"data":[192,209],"recovery,":[193],"clustering,":[194],"classification.":[196],"Both":[197],"two":[198],"toy":[199],"examples":[200],"(i.e.,":[201,211],"Swiss":[202],"roll":[203],"-curve)":[205],"four":[207],"real-world":[208],"sets":[210],"face":[212],"images,":[213],"multisource":[214],"news,":[215],"multicamera":[216],"activity,":[217],"multimodality":[219],"neuroimaging":[220],"data)":[221],"systematically":[223],"tested.":[224],"As":[225],"demonstrated,":[226],"our":[227],"achieve":[229],"superior":[232],"state-of-the-art":[237],"comparable":[238],"methods.":[239],"Also,":[240],"results":[242],"clearly":[243],"show":[244],"advantage":[246],"integrating":[248],"sparsity":[250],"low-rankness":[252],"over":[253],"using":[254],"them":[257],"separately.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}