{"id":"https://openalex.org/W1977061384","doi":"https://doi.org/10.1109/tkde.2014.2313866","title":"Mining Semantically Consistent Patterns for Cross-View Data","display_name":"Mining Semantically Consistent Patterns for Cross-View Data","publication_year":2014,"publication_date":"2014-03-26","ids":{"openalex":"https://openalex.org/W1977061384","doi":"https://doi.org/10.1109/tkde.2014.2313866","mag":"1977061384"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2014.2313866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2313866","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-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/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","State Key Laboratory of Rail Traffic Control and Safety, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867605","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0001-7315-3276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006854141","display_name":"Shikui Wei","orcid":"https://orcid.org/0000-0003-3803-9763"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikui Wei","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I111236770","display_name":"University of Vermont","ror":"https://ror.org/0155zta11","country_code":"US","type":"education","lineage":["https://openalex.org/I111236770"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Department of Computer Science, University of Vermont, 33 Colchester Avenue, Burlington, VT"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Vermont, 33 Colchester Avenue, Burlington, VT","institution_ids":["https://openalex.org/I111236770"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100433899"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":1.9764,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88660926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"11","first_page":"2745","last_page":"2758"},"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":0.9984999895095825,"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":0.9984999895095825,"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":0.998199999332428,"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":0.9980000257492065,"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":0.7796436548233032},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6329860687255859},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6252903938293457},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5788362622261047},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4696442484855652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46055781841278076},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44019240140914917},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4298378825187683},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42643237113952637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31255197525024414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7796436548233032},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6329860687255859},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6252903938293457},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5788362622261047},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4696442484855652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46055781841278076},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44019240140914917},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4298378825187683},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42643237113952637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31255197525024414},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2014.2313866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2313866","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.4364","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.4364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mepro.bjtu.edu.cn/zhaoyao/pdf/Mining%20Semantically%20Consistent%20Patterns%20for%20Cross-View%20Data.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1076002841","display_name":null,"funder_award_id":"RCS2014ZT13","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"},{"id":"https://openalex.org/G1376897105","display_name":null,"funder_award_id":"61172129","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4434262924","display_name":null,"funder_award_id":"2012JBZ012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7833407414","display_name":null,"funder_award_id":"61025013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8017731688","display_name":null,"funder_award_id":"2012CB316400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8436593353","display_name":null,"funder_award_id":"61210006","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/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1487444668","https://openalex.org/W1597084354","https://openalex.org/W1964175488","https://openalex.org/W1967578884","https://openalex.org/W1978259121","https://openalex.org/W1981613567","https://openalex.org/W1984983329","https://openalex.org/W2019863495","https://openalex.org/W2038118117","https://openalex.org/W2065180801","https://openalex.org/W2066340877","https://openalex.org/W2068992789","https://openalex.org/W2071207147","https://openalex.org/W2078273977","https://openalex.org/W2084812512","https://openalex.org/W2091449379","https://openalex.org/W2100235303","https://openalex.org/W2106277773","https://openalex.org/W2110332320","https://openalex.org/W2110414616","https://openalex.org/W2111692687","https://openalex.org/W2116318753","https://openalex.org/W2118550318","https://openalex.org/W2122061064","https://openalex.org/W2124541940","https://openalex.org/W2130903752","https://openalex.org/W2134332047","https://openalex.org/W2134604967","https://openalex.org/W2135029798","https://openalex.org/W2135346934","https://openalex.org/W2135588188","https://openalex.org/W2140111443","https://openalex.org/W2142674578","https://openalex.org/W2142863987","https://openalex.org/W2144359569","https://openalex.org/W2149870286","https://openalex.org/W2151103935","https://openalex.org/W2151211319","https://openalex.org/W2156175024","https://openalex.org/W2156935079","https://openalex.org/W2158281641","https://openalex.org/W2169900850","https://openalex.org/W2611328865","https://openalex.org/W4237125779","https://openalex.org/W4301621763","https://openalex.org/W6676830001","https://openalex.org/W6679734692","https://openalex.org/W6680755225","https://openalex.org/W6683281103","https://openalex.org/W6793301333"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2167092671","https://openalex.org/W2149583853","https://openalex.org/W2143002539","https://openalex.org/W2130386332","https://openalex.org/W4323929292","https://openalex.org/W2158511632"],"abstract_inverted_index":{"In":[0,74],"some":[1],"real":[2],"world":[3],"applications,":[4],"like":[5],"information":[6,49,134],"retrieval":[7],"and":[8,200],"data":[9,182,190],"classification,":[10],"we":[11,77,125,155],"often":[12],"are":[13],"confronted":[14],"with":[15,29],"the":[16,19,47,61,72,84,144,148,152,174,178,193],"situation":[17],"that":[18],"same":[20],"semantic":[21,145,170],"concept":[22],"can":[23,138,183],"be":[24,139,184],"expressed":[25],"using":[26],"different":[27,51,97,136],"views":[28,137],"similar":[30],"information.":[31],"Thus,":[32,130],"how":[33],"to":[34,82,118,142,165],"obtain":[35],"a":[36,67,79,93,99,119,157,167],"certain":[37],"Semantically":[38],"Consistent":[39],"Patterns":[40],"(SCP)":[41],"for":[42,57,86,180],"cross-view":[43,64,87,181],"data,":[44],"which":[45,124],"embeds":[46],"complementary":[48,133],"from":[50,135],"views,":[52,98],"is":[53,106],"of":[54,195],"great":[55],"importance":[56],"those":[58],"applications.":[59],"However,":[60],"heterogeneity":[62],"among":[63,96,147],"representations":[65,150],"brings":[66],"significant":[68],"challenge":[69],"on":[70,188],"mining":[71],"SCP.":[73],"this":[75],"paper,":[76],"propose":[78,156],"general":[80],"framework":[81,197],"discover":[83],"SCP":[85,179],"data.":[88,176],"Specifically,":[89],"aiming":[90],"at":[91],"building":[92],"feature-isomorphic":[94,122,175],"space":[95],"novel":[100],"Isomorphic":[101],"Relevant":[102],"Redundant":[103],"Transformation":[104],"(IRRT)":[105],"first":[107],"proposed.":[108],"The":[109],"IRRT":[110],"linearly":[111],"maps":[112],"multiple":[113],"heterogeneous":[114],"low-level":[115],"feature":[116],"spaces":[117],"high-dimensional":[120],"redundant":[121],"one,":[123],"name":[126],"as":[127],"mid-level":[128,153],"space.":[129],"much":[131],"more":[132],"captured.":[140],"Furthermore,":[141],"mine":[143],"consistency":[146],"isomorphic":[149],"in":[151,198],"space,":[154],"new":[158],"Correlation-based":[159],"Joint":[160],"Feature":[161],"Learning":[162],"(CJFL)":[163],"model":[164],"extract":[166],"unique":[168],"high-level":[169],"subspace":[171],"shared":[172],"across":[173],"Consequently,":[177],"obtained.":[185],"Comprehensive":[186],"experiments":[187],"three":[189],"sets":[191],"demonstrate":[192],"advantages":[194],"our":[196],"classification":[199],"retrieval.":[201]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
