乐胖代购免代理版

{"id":"https://openalex.org/W4385656612","doi":"https://doi.org/10.1109/tkde.2023.3303343","title":"Learning Idempotent Representation for Subspace Clustering","display_name":"Learning Idempotent Representation for Subspace Clustering","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385656612","doi":"https://doi.org/10.1109/tkde.2023.3303343"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3303343","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.14431","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012555900","display_name":"Lai Wei","orcid":"https://orcid.org/0000-0002-6116-1671"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai Wei","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015623809","display_name":"Shiteng Liu","orcid":"https://orcid.org/0009-0005-8656-9314"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiteng Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031426337","display_name":"Ri\u2010Gui Zhou","orcid":"https://orcid.org/0000-0002-8894-8108"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rigui Zhou","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083375980","display_name":"Changming Zhu","orcid":"https://orcid.org/0000-0001-8039-5601"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changming Zhu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642607","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"funder","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.113,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.755187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":90},"biblio":{"volume":"36","issue":"3","first_page":"1183","last_page":"1197"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993,"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/T10057","display_name":"Face and Expression Recognition","score":0.9993,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9934,"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/coefficient-matrix","display_name":"Coefficient matrix","score":0.5620453},{"id":"https://openalex.org/keywords/block-matrix","display_name":"Block matrix","score":0.5619122},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.5038299}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7107885},{"id":"https://openalex.org/C60866291","wikidata":"https://www.wikidata.org/wiki/Q5140577","display_name":"Coefficient matrix","level":3,"score":0.5620453},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.5619122},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.53446776},{"id":"https://openalex.org/C172252984","wikidata":"https://www.wikidata.org/wiki/Q368988","display_name":"Idempotence","level":2,"score":0.526017},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5038299},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4997115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48191002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45636648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45510307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25849122},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.22996694},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20912895},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.20442736},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3303343","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2207.14431","pdf_url":"https://arxiv.org/pdf/2207.14431","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2207.14431","pdf_url":"https://arxiv.org/pdf/2207.14431","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai","award_id":"20ZR1423100"}],"datasets":[],"versions":[],"referenced_works_count":48,"referenced_works":["https://openalex.org/W1600471557","https://openalex.org/W191001584","https://openalex.org/W1955658501","https://openalex.org/W1977496278","https://openalex.org/W1981458038","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2003217181","https://openalex.org/W2003361735","https://openalex.org/W2006533296","https://openalex.org/W2035813998","https://openalex.org/W2037489839","https://openalex.org/W2052311585","https://openalex.org/W2065220650","https://openalex.org/W2079361215","https://openalex.org/W2103560185","https://openalex.org/W2107799335","https://openalex.org/W2110603409","https://openalex.org/W2119227770","https://openalex.org/W2121947440","https://openalex.org/W2122712590","https://openalex.org/W2129812935","https://openalex.org/W2142782401","https://openalex.org/W2160915541","https://openalex.org/W2161997479","https://openalex.org/W2164931791","https://openalex.org/W2195250169","https://openalex.org/W2217484818","https://openalex.org/W2532206188","https://openalex.org/W2725281289","https://openalex.org/W2785583244","https://openalex.org/W2791026767","https://openalex.org/W2800791174","https://openalex.org/W2895210058","https://openalex.org/W2956147459","https://openalex.org/W2962911132","https://openalex.org/W2963165461","https://openalex.org/W2963630677","https://openalex.org/W2963840432","https://openalex.org/W2994051615","https://openalex.org/W2994884162","https://openalex.org/W3092947908","https://openalex.org/W3098561772","https://openalex.org/W3108682107","https://openalex.org/W3134342403","https://openalex.org/W4229753684","https://openalex.org/W4230946174","https://openalex.org/W4250657332"],"related_works":["https://openalex.org/W582952622","https://openalex.org/W4293685851","https://openalex.org/W3144541924","https://openalex.org/W2797696438","https://openalex.org/W2788732241","https://openalex.org/W2309067885","https://openalex.org/W2139316873","https://openalex.org/W2014490899","https://openalex.org/W2009321272","https://openalex.org/W13884677"],"abstract_inverted_index":{"The":[0,130],"critical":[1],"point":[2],"for":[3,117],"the":[4,21,61,94,98,138],"success":[5],"of":[6,24,140],"spectral-type":[7],"subspace":[8,22,157],"clustering":[9,158],"algorithms":[10,136],"is":[11,38,49,154],"to":[12,76,104],"seek":[13],"reconstruction":[14,29,78],"coefficient":[15,30,79,99],"matrices":[16,80,100,107],"that":[17,54,152],"can":[18],"faithfully":[19],"reveal":[20],"structures":[23],"data":[25],"sets.":[26],"An":[27],"ideal":[28],"matrix":[31,58],"should":[32],"have":[33],"two":[34,63],"properties:":[35],"1)":[36],"it":[37],"block-diagonal":[39],"with":[40],"each":[41,47],"block":[42,48],"indicating":[43],"a":[44,55,87],"subspace;":[45],"2)":[46],"fully":[50],"connected.":[51],"We":[52,112],"find":[53],"normalized":[56,82,105],"membership":[57,83,106],"naturally":[59],"satisfies":[60],"above":[62],"conditions.":[64],"Therefore,":[65],"in":[66],"this":[67],"paper,":[68],"we":[69],"devise":[70],"an":[71,114,155],"idempotent":[72,89],"representation":[73],"(IDR)":[74],"algorithm":[75,116],"pursue":[77],"approximating":[81],"matrices.":[84],"IDR":[85,119,133,153],"designs":[86],"new":[88],"constraint.":[90],"And":[91],"by":[92],"combining":[93],"doubly":[95],"stochastic":[96],"constraints,":[97],"which":[101],"are":[102],"close":[103],"could":[108],"be":[109],"directly":[110],"achieved.":[111],"present":[113],"optimization":[115],"solving":[118],"problem":[120],"and":[121,134,148],"analyze":[122],"its":[123],"computation":[124],"burden":[125],"as":[126,128],"well":[127],"convergence.":[129],"comparisons":[131],"between":[132],"related":[135],"show":[137],"superiority":[139],"IDR.":[141],"Plentiful":[142],"experiments":[143],"conducted":[144],"on":[145],"both":[146],"synthetic":[147],"real-world":[149],"datasets":[150],"prove":[151],"effective":[156],"algorithm.":[159]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4385656612","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-04-22T21:16:19.859244","created_date":"2023-08-09"}