{"id":"https://openalex.org/W4224313990","doi":"https://doi.org/10.1109/tpami.2022.3168882","title":"Maximum Block Energy Guided Robust Subspace Clustering","display_name":"Maximum Block Energy Guided Robust Subspace Clustering","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4224313990","doi":"https://doi.org/10.1109/tpami.2022.3168882","pmid":"https://pubmed.ncbi.nlm.nih.gov/35452385"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3168882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3168882","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","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/A5004227944","display_name":"Yalan Qin","orcid":"https://orcid.org/0000-0002-4479-5680"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yalan Qin","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4479-5680","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071724015","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0001-5867-1315"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5867-1315","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048268082","display_name":"Liquan Shen","orcid":"https://orcid.org/0000-0002-2148-6279"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Shen","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2148-6279","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043596876","display_name":"Guorui Feng","orcid":"https://orcid.org/0000-0001-8249-2608"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorui Feng","raw_affiliation_strings":["School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8249-2608","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004227944"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":3.1461,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93003995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"45","issue":"2","first_page":"2652","last_page":"2659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9961000084877014,"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":0.9961000084877014,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9710999727249146,"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/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7573884129524231},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5360531806945801},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.50741046667099},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4496475160121918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4326017200946808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4290335774421692},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.42464590072631836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38882672786712646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3240022659301758}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7573884129524231},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5360531806945801},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.50741046667099},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4496475160121918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4326017200946808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4290335774421692},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.42464590072631836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38882672786712646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3240022659301758},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3168882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3168882","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:35452385","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35452385","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2429589907","display_name":null,"funder_award_id":"U1936214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6698752278","display_name":null,"funder_award_id":"62072295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8311167460","display_name":null,"funder_award_id":"61931022","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":28,"referenced_works":["https://openalex.org/W46147500","https://openalex.org/W200673309","https://openalex.org/W1600471557","https://openalex.org/W1884731728","https://openalex.org/W1931947167","https://openalex.org/W1950520880","https://openalex.org/W2002329661","https://openalex.org/W2003217181","https://openalex.org/W2013712253","https://openalex.org/W2040329636","https://openalex.org/W2052311585","https://openalex.org/W2052575990","https://openalex.org/W2088025572","https://openalex.org/W2100659887","https://openalex.org/W2118154608","https://openalex.org/W2123921160","https://openalex.org/W2160915541","https://openalex.org/W2165423399","https://openalex.org/W2177347332","https://openalex.org/W2222512263","https://openalex.org/W2780842270","https://openalex.org/W2944309706","https://openalex.org/W2963165461","https://openalex.org/W3087124270","https://openalex.org/W3168316785","https://openalex.org/W3169978599","https://openalex.org/W6603183647","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2095582735","https://openalex.org/W2059318893","https://openalex.org/W1965698851","https://openalex.org/W834942123","https://openalex.org/W2391321755","https://openalex.org/W4232542516","https://openalex.org/W1967331680","https://openalex.org/W3176637561","https://openalex.org/W1587967017","https://openalex.org/W2269356610"],"abstract_inverted_index":{"Subspace":[0,24],"clustering":[1,5,34,200],"is":[2,138],"useful":[3],"for":[4,151],"data":[6],"points":[7],"according":[8],"to":[9,81,100,124,177,198],"the":[10,47,58,85,90,94,105,113,125,130,142,156,181,190,199],"underlying":[11],"subspaces.":[12],"Many":[13],"methods":[14],"have":[15],"been":[16],"presented":[17],"in":[18,57,65,84,107,112,180],"recent":[19],"years,":[20],"among":[21],"which":[22],"Sparse":[23],"Clustering":[25],"(SSC),":[26],"Low-Rank":[27],"Representation":[28],"(LRR)":[29],"and":[30,54,146,162,187],"Least":[31],"Squares":[32],"Regression":[33],"(LSR)":[35],"are":[36],"three":[37],"representative":[38],"methods.":[39],"These":[40],"approaches":[41],"achieve":[42],"good":[43],"results":[44],"by":[45,62,165],"assuming":[46],"structure":[48],"of":[49,109,127,135,149,159,192],"errors":[50,56,83,179],"as":[51],"a":[52,74,110,136,160,166],"prior":[53],"removing":[55],"original":[59],"input":[60,91],"space":[61,87,115],"modeling":[63],"them":[64],"their":[66],"objective":[67],"functions.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,103,171],"propose":[73,172],"novel":[75],"method":[76,194],"from":[77],"an":[78,117,173],"energy":[79,118,134,157],"perspective":[80],"eliminate":[82],"projected":[86,114,182],"rather":[88],"than":[89],"space.":[92,183],"Since":[93],"block":[95,111,122,137,161],"diagonal":[96],"property":[97],"can":[98],"lead":[99],"correct":[101,121],"clustering,":[102],"measure":[104],"correctness":[106],"terms":[108],"with":[116,129],"function.":[119,169],"A":[120],"corresponds":[123],"subset":[126],"columns":[128,150],"maximal":[131],"energy.":[132],"The":[133],"defined":[139],"based":[140],"on":[141],"unary":[143],"column,":[144],"pairwise":[145],"high-order":[147],"similarity":[148],"each":[152],"block.":[153],"We":[154],"relax":[155],"function":[158],"approximate":[163],"it":[164],"constrained":[167],"homogenous":[168],"Moreover,":[170],"efficient":[174],"iterative":[175],"algorithm":[176],"remove":[178],"Both":[184],"theoretical":[185],"analysis":[186],"experiments":[188],"show":[189],"superiority":[191],"our":[193],"over":[195],"existing":[196],"solutions":[197],"problem,":[201],"especially":[202],"when":[203],"noise":[204],"exists.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
