{"id":"https://openalex.org/W2049538695","doi":"https://doi.org/10.1109/tcyb.2014.2307862","title":"High-Order Distance-Based Multiview Stochastic Learning in Image Classification","display_name":"High-Order Distance-Based Multiview Stochastic Learning in Image Classification","publication_year":2014,"publication_date":"2014-03-17","ids":{"openalex":"https://openalex.org/W2049538695","doi":"https://doi.org/10.1109/tcyb.2014.2307862","mag":"2049538695","pmid":"https://pubmed.ncbi.nlm.nih.gov/25415948"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2014.2307862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2307862","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728762","display_name":"Yong Rui","orcid":"https://orcid.org/0000-0002-9142-5914"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Rui","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I4210096034","display_name":"Centre for Quantum Computation and Communication Technology","ror":"https://ror.org/00rnbty21","country_code":"AU","type":"facility","lineage":["https://openalex.org/I1337719021","https://openalex.org/I165143802","https://openalex.org/I2801453606","https://openalex.org/I4210096034","https://openalex.org/I4210132349"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","[Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I4210096034"]},{"raw_affiliation_string":"[Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia]","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":45.1381,"has_fulltext":false,"cited_by_count":263,"citation_normalized_percentile":{"value":0.99889477,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"44","issue":"12","first_page":"2431","last_page":"2442"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973999857902527,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.705379843711853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684325337409973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5792444348335266},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5491658449172974},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5227727293968201},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45843228697776794},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45469728112220764},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41490834951400757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3680565059185028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34406542778015137}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705379843711853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684325337409973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5792444348335266},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5491658449172974},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5227727293968201},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45843228697776794},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45469728112220764},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41490834951400757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3680565059185028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34406542778015137}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2014.2307862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2307862","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:25415948","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25415948","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 cybernetics","raw_type":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/122392","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/122392","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5643578051","display_name":"\u590d\u6742\u4e8c\u7ef4\u52a8\u753b\u5339\u914d\u5173\u7cfb\u7814\u7a76\u53ca\u5176\u76f8\u5173\u5e94\u7528","funder_award_id":"61100104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6669226694","display_name":null,"funder_award_id":"NCET-12-0323","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G6697880830","display_name":null,"funder_award_id":"61273244","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/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1566135517","https://openalex.org/W1625255723","https://openalex.org/W1670132599","https://openalex.org/W1680392829","https://openalex.org/W1774304772","https://openalex.org/W1981025032","https://openalex.org/W1984283136","https://openalex.org/W1989085630","https://openalex.org/W1989889610","https://openalex.org/W1998635907","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2005676288","https://openalex.org/W2006904655","https://openalex.org/W2007961866","https://openalex.org/W2012619263","https://openalex.org/W2015430519","https://openalex.org/W2021003221","https://openalex.org/W2024082504","https://openalex.org/W2025892599","https://openalex.org/W2029257328","https://openalex.org/W2053186076","https://openalex.org/W2056952330","https://openalex.org/W2071128523","https://openalex.org/W2075880488","https://openalex.org/W2080994061","https://openalex.org/W2094651715","https://openalex.org/W2097089247","https://openalex.org/W2097308346","https://openalex.org/W2101098151","https://openalex.org/W2104290444","https://openalex.org/W2112008792","https://openalex.org/W2113592823","https://openalex.org/W2120901716","https://openalex.org/W2121169814","https://openalex.org/W2122565017","https://openalex.org/W2124386111","https://openalex.org/W2128700566","https://openalex.org/W2131153761","https://openalex.org/W2137250288","https://openalex.org/W2138910149","https://openalex.org/W2139823104","https://openalex.org/W2141303268","https://openalex.org/W2143685245","https://openalex.org/W2148239836","https://openalex.org/W2151973304","https://openalex.org/W2152756885","https://openalex.org/W2154455818","https://openalex.org/W2157444450","https://openalex.org/W2159880745","https://openalex.org/W2166168249","https://openalex.org/W2166782149","https://openalex.org/W2167732364","https://openalex.org/W2170057991","https://openalex.org/W2172191903","https://openalex.org/W2186094539","https://openalex.org/W2187089797","https://openalex.org/W2488792907","https://openalex.org/W2502869113","https://openalex.org/W2997701990","https://openalex.org/W4239768092","https://openalex.org/W4250589301","https://openalex.org/W4254721730","https://openalex.org/W6636494156","https://openalex.org/W6637386731","https://openalex.org/W6674896937","https://openalex.org/W6675747103","https://openalex.org/W6676772307","https://openalex.org/W6677987841","https://openalex.org/W6679194931","https://openalex.org/W6680434193","https://openalex.org/W6682329733","https://openalex.org/W6682494755","https://openalex.org/W6683161245","https://openalex.org/W6685083254","https://openalex.org/W6724528447"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W4390143830"],"abstract_inverted_index":{"How":[0],"do":[1],"we":[2,125],"find":[3],"all":[4],"images":[5,11,66],"in":[6,177,204,245],"a":[7,14,22,89,106,127,144,154,193],"larger":[8],"set":[9],"of":[10,21,49,102,182,209,222,243],"which":[12,199],"have":[13],"specific":[15,23,116],"content?":[16],"Or":[17],"estimate":[18],"the":[19,27,47,65,95,149,160,166,171,179,187,206,219,241],"position":[20],"object":[24],"relative":[25],"to":[26,84,99,173,217],"camera?":[28],"Image":[29],"classification":[30,231],"methods,":[31],"like":[32],"support":[33,39],"vector":[34,40],"machine":[35,41],"(supervised)":[36],"and":[37,55,82,119,147,224,230],"transductive":[38],"(semi-supervised),":[42],"are":[43],"invaluable":[44],"tools":[45],"for":[46,94,135,196],"applications":[48],"content-based":[50],"image":[51,136,246],"retrieval,":[52],"pose":[53],"estimation,":[54],"optical":[56],"character":[57],"recognition.":[58],"However,":[59],"these":[60],"methods":[61],"only":[62],"can":[63,79,190],"handle":[64],"represented":[67],"by":[68],"single":[69],"feature.":[70],"In":[71,122,157,185],"many":[72],"cases,":[73],"different":[74,103,226],"features":[75,101,142],"(or":[76],"multiview":[77,130,210],"data)":[78],"be":[80],"obtained,":[81],"how":[83],"efficiently":[85],"utilize":[86],"them":[87],"is":[88,92,111,215],"challenge.":[90],"It":[91],"inappropriate":[93],"traditionally":[96],"concatenating":[97],"schema":[98],"link":[100],"views":[104,227],"into":[105,143],"long":[107],"vector.":[108],"The":[109],"reason":[110],"each":[112,197],"view":[113],"has":[114],"its":[115],"statistical":[117],"property":[118],"physical":[120],"interpretation.":[121],"this":[123],"paper,":[124],"propose":[126],"high-order":[128,167],"distance-based":[129],"stochastic":[131],"learning":[132],"(HD-MSL)":[133],"method":[134],"classification.":[137,247],"HD-MSL":[138,223,244],"effectively":[139],"combines":[140],"varied":[141],"unified":[145],"representation":[146],"integrates":[148],"labeling":[150],"information":[151,208],"based":[152],"on":[153,228,235],"probabilistic":[155],"framework.":[156],"comparison":[158],"with":[159],"existing":[161],"strategies,":[162],"our":[163],"approach":[164,189],"adopts":[165],"distance":[168,176],"obtained":[169],"from":[170],"hypergraph":[172],"replace":[174],"pairwise":[175],"estimating":[178],"probability":[180],"matrix":[181],"data":[183],"distribution.":[184],"addition,":[186],"proposed":[188],"automatically":[191],"learn":[192],"combination":[194],"coefficient":[195],"view,":[198],"plays":[200],"an":[201],"important":[202],"role":[203],"utilizing":[205],"complementary":[207],"data.":[211],"An":[212],"alternative":[213],"optimization":[214],"designed":[216],"solve":[218],"objective":[220],"functions":[221],"obtain":[225],"coefficients":[229],"scores":[232],"simultaneously.":[233],"Experiments":[234],"two":[236],"real":[237],"world":[238],"datasets":[239],"demonstrate":[240],"effectiveness":[242]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":59},{"year":2015,"cited_by_count":41},{"year":2014,"cited_by_count":27}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
