{"id":"https://openalex.org/W2672266311","doi":"https://doi.org/10.1109/tip.2017.2717191","title":"Scalable Multi-View Semi-Supervised Classification via Adaptive Regression","display_name":"Scalable Multi-View Semi-Supervised Classification via Adaptive Regression","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2672266311","doi":"https://doi.org/10.1109/tip.2017.2717191","mag":"2672266311","pmid":"https://pubmed.ncbi.nlm.nih.gov/28641262"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2717191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2717191","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":"https://openalex.org/A5010022982","display_name":"Hong Tao","orcid":"https://orcid.org/0000-0002-0924-5683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Tao","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091529433","display_name":"Chenping Hou","orcid":"https://orcid.org/0000-0002-9335-0469"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenping Hou","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-9335-0469","affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100835419","display_name":"Jubo Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jubo Zhu","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064728173","display_name":"Dongyun Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyun Yi","raw_affiliation_strings":["College of Science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7715,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.9579043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"26","issue":"9","first_page":"4283","last_page":"4296"},"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":0.9991000294685364,"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":0.9991000294685364,"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":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9973999857902527,"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":0.6982709765434265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5989448428153992},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5453947186470032},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5333796739578247},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.486023485660553},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42085063457489014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41747578978538513},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3698537051677704},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18324750661849976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1692468225955963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6982709765434265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5989448428153992},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5453947186470032},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5333796739578247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.486023485660553},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42085063457489014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41747578978538513},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3698537051677704},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18324750661849976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1692468225955963},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2717191","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2717191","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:28641262","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28641262","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2857889432","display_name":null,"funder_award_id":"61473302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3181463681","display_name":null,"funder_award_id":"61503396","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W53987483","https://openalex.org/W1566135517","https://openalex.org/W1670132599","https://openalex.org/W1677409904","https://openalex.org/W1977766639","https://openalex.org/W1985583020","https://openalex.org/W2019863495","https://openalex.org/W2021014470","https://openalex.org/W2037603696","https://openalex.org/W2043080228","https://openalex.org/W2048679005","https://openalex.org/W2049365101","https://openalex.org/W2051674524","https://openalex.org/W2058267700","https://openalex.org/W2085348055","https://openalex.org/W2085789144","https://openalex.org/W2087044413","https://openalex.org/W2095609079","https://openalex.org/W2099749431","https://openalex.org/W2107034620","https://openalex.org/W2113590298","https://openalex.org/W2113855951","https://openalex.org/W2118153703","https://openalex.org/W2125148312","https://openalex.org/W2133348086","https://openalex.org/W2136504847","https://openalex.org/W2139395976","https://openalex.org/W2139823104","https://openalex.org/W2142036616","https://openalex.org/W2151103935","https://openalex.org/W2159748429","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165396616","https://openalex.org/W2166782149","https://openalex.org/W2171837816","https://openalex.org/W2176433868","https://openalex.org/W2183040456","https://openalex.org/W2244035566","https://openalex.org/W2257217404","https://openalex.org/W2345837149","https://openalex.org/W3100063120","https://openalex.org/W4285719527","https://openalex.org/W6602211964","https://openalex.org/W6637400245","https://openalex.org/W6679629151","https://openalex.org/W6680140577","https://openalex.org/W6680434193","https://openalex.org/W6685357932","https://openalex.org/W6690471231","https://openalex.org/W7067176833"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"With":[0,146],"the":[1,21,35,72,79,85,98,109,129,137,141,147,164,181,191],"advent":[2],"of":[3,23,83,131,143,166,193],"multi-view":[4,6,36,48],"data,":[5],"learning":[7,16,30],"has":[8],"become":[9],"an":[10,45],"important":[11],"research":[12],"direction":[13],"in":[14,27,113,180],"machine":[15,29],"and":[17,71,115,151,179],"image":[18],"processing.":[19],"Considering":[20],"difficulty":[22],"obtaining":[24],"labeled":[25],"data":[26,121,157,177],"many":[28],"applications,":[31],"we":[32,43],"focus":[33],"on":[34,175],"semi-supervised":[37,49],"classification":[38,50,183],"problem.":[39,58,102],"In":[40],"this":[41,57],"paper,":[42],"propose":[44],"algorithm":[46,90,111],"named":[47],"via":[51],"adaptive":[52],"regression":[53],"(MVAR)":[54],"to":[55,96,104,119],"address":[56],"Specifically,":[59],"regression-based":[60],"loss":[61,86],"functions":[62],"with":[63,91,171],"\u21132,1matrix":[64],"norm":[65],"are":[66,169],"adopted":[67],"for":[68,155],"each":[69],"view":[70],"final":[73],"objective":[74],"function":[75],"is":[76,94],"formulated":[77],"as":[78,185],"linear":[80],"weighted":[81],"combination":[82],"all":[84],"functions.":[87],"An":[88],"efficient":[89,112],"proved":[92],"convergence":[93],"developed":[95],"solve":[97],"non-smooth":[99],"\u21132,1-norm":[100],"minimization":[101],"Regressing":[103],"class":[105],"labels":[106],"directly":[107],"makes":[108,136],"proposed":[110,195],"calculation":[114],"can":[116,158],"be":[117,159],"applied":[118],"large-scale":[120],"sets.":[122],"The":[123,187],"adaptively":[124],"optimized":[125],"weight":[126],"coefficients":[127],"balance":[128],"contributions":[130],"different":[132],"views":[133],"automatically,":[134],"which":[135],"performance":[138],"robust":[139],"against":[140],"existence":[142],"low-quality":[144],"views.":[145],"learned":[148],"projection":[149],"matrices":[150],"bias":[152],"vectors,":[153],"predictions":[154],"out-of-sample":[156],"easily":[160],"made.":[161],"To":[162],"validate":[163],"effectiveness":[165,192],"MVAR,":[167],"comparisons":[168],"made":[170],"some":[172],"benchmark":[173],"methods":[174],"realworld":[176],"sets":[178],"scene":[182],"scenario":[184],"well.":[186],"experimental":[188],"results":[189],"demonstrate":[190],"our":[194],"algorithm.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}