{"id":"https://openalex.org/W2897973071","doi":"https://doi.org/10.1109/jstsp.2018.2877478","title":"Evolutionary Self-Expressive Models for Subspace Clustering","display_name":"Evolutionary Self-Expressive Models for Subspace Clustering","publication_year":2018,"publication_date":"2018-10-22","ids":{"openalex":"https://openalex.org/W2897973071","doi":"https://doi.org/10.1109/jstsp.2018.2877478","mag":"2897973071"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2018.2877478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2018.2877478","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1810.11957","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036900440","display_name":"Abolfazl Hashemi","orcid":"https://orcid.org/0000-0002-8421-4270"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abolfazl Hashemi","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, US"],"raw_orcid":"https://orcid.org/0000-0002-8421-4270","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, US","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067602750","display_name":"Haris Vikalo","orcid":"https://orcid.org/0000-0002-7945-4114"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haris Vikalo","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, US"],"raw_orcid":"https://orcid.org/0000-0002-7945-4114","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, US","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.976,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.77857143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"6","first_page":"1534","last_page":"1546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9934999942779541,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894999861717224,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7501577734947205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.66746586561203},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.48724880814552307},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4827386736869812},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.46216535568237305},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4605962038040161},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.45812496542930603},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.4308347702026367},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4303402304649353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42365992069244385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34795159101486206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2765806317329407}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7501577734947205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66746586561203},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.48724880814552307},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4827386736869812},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.46216535568237305},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4605962038040161},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45812496542930603},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.4308347702026367},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4303402304649353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42365992069244385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34795159101486206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2765806317329407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2018.2877478","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2018.2877478","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1810.11957","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11957","pdf_url":"https://arxiv.org/pdf/1810.11957","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1810.11957","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1810.11957","pdf_url":"https://arxiv.org/pdf/1810.11957","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":117,"referenced_works":["https://openalex.org/W258053484","https://openalex.org/W272277767","https://openalex.org/W1555451715","https://openalex.org/W1600471557","https://openalex.org/W1604980173","https://openalex.org/W1627117674","https://openalex.org/W1680189815","https://openalex.org/W1757790940","https://openalex.org/W1875482710","https://openalex.org/W1890623278","https://openalex.org/W1981458038","https://openalex.org/W1993962865","https://openalex.org/W1995168330","https://openalex.org/W1997201895","https://openalex.org/W1998819761","https://openalex.org/W2002260165","https://openalex.org/W2002329661","https://openalex.org/W2003217181","https://openalex.org/W2003610960","https://openalex.org/W2022651954","https://openalex.org/W2025737586","https://openalex.org/W2037549374","https://openalex.org/W2048127846","https://openalex.org/W2052311585","https://openalex.org/W2056639756","https://openalex.org/W2059676477","https://openalex.org/W2065030431","https://openalex.org/W2071631699","https://openalex.org/W2076261573","https://openalex.org/W2078204800","https://openalex.org/W2079558799","https://openalex.org/W2096608935","https://openalex.org/W2102380305","https://openalex.org/W2103943817","https://openalex.org/W2104990759","https://openalex.org/W2109310279","https://openalex.org/W2116367120","https://openalex.org/W2120580172","https://openalex.org/W2120669055","https://openalex.org/W2125742596","https://openalex.org/W2128659236","https://openalex.org/W2132014503","https://openalex.org/W2133515443","https://openalex.org/W2135046866","https://openalex.org/W2138835141","https://openalex.org/W2139054653","https://openalex.org/W2141685271","https://openalex.org/W2145962650","https://openalex.org/W2145977038","https://openalex.org/W2150000644","https://openalex.org/W2152461258","https://openalex.org/W2152714163","https://openalex.org/W2158249175","https://openalex.org/W2164278908","https://openalex.org/W2165874743","https://openalex.org/W2170337404","https://openalex.org/W2185081213","https://openalex.org/W2199534117","https://openalex.org/W2222512263","https://openalex.org/W2293546752","https://openalex.org/W2294644361","https://openalex.org/W2296616510","https://openalex.org/W2404771443","https://openalex.org/W2527399347","https://openalex.org/W2532206188","https://openalex.org/W2549661379","https://openalex.org/W2561426102","https://openalex.org/W2563080677","https://openalex.org/W2566750106","https://openalex.org/W2574931690","https://openalex.org/W2609983914","https://openalex.org/W2713961636","https://openalex.org/W2735593832","https://openalex.org/W2747622561","https://openalex.org/W2766810064","https://openalex.org/W2805651580","https://openalex.org/W2886985401","https://openalex.org/W2893821991","https://openalex.org/W2949483514","https://openalex.org/W2951657789","https://openalex.org/W2952556356","https://openalex.org/W2962937761","https://openalex.org/W2963072183","https://openalex.org/W2963098825","https://openalex.org/W2963840432","https://openalex.org/W2964275022","https://openalex.org/W2990898309","https://openalex.org/W3022380717","https://openalex.org/W3099880660","https://openalex.org/W3102566946","https://openalex.org/W3105175345","https://openalex.org/W3105745294","https://openalex.org/W3106029105","https://openalex.org/W3118655244","https://openalex.org/W3126003237","https://openalex.org/W4235599520","https://openalex.org/W4243967044","https://openalex.org/W4246240780","https://openalex.org/W4250657332","https://openalex.org/W4250955649","https://openalex.org/W4292070111","https://openalex.org/W4292363360","https://openalex.org/W4292692470","https://openalex.org/W4294091648","https://openalex.org/W6635884019","https://openalex.org/W6636422729","https://openalex.org/W6637754763","https://openalex.org/W6639467292","https://openalex.org/W6675666693","https://openalex.org/W6679903135","https://openalex.org/W6680953844","https://openalex.org/W6684578312","https://openalex.org/W6713338760","https://openalex.org/W6729211134","https://openalex.org/W6731661740","https://openalex.org/W6745619118","https://openalex.org/W6747536343"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3003323003"],"abstract_inverted_index":{"The":[0,126],"problem":[1],"of":[2,16,33,42,51,70,120,123,178,187],"organizing":[3],"data":[4,35,53,73,124,150],"that":[5,37,65,103,161],"evolves":[6],"over":[7],"time":[8,57,82],"into":[9,76],"clusters":[10],"is":[11,28],"encountered":[12],"in":[13,132,176,184],"a":[14,24,31,40,61,97,116,129,185],"number":[15],"practical":[17],"settings.":[18],"We":[19],"introduce":[20],"evolutionary":[21,133,173],"subspace":[22,168],"clustering,":[23],"method":[25],"whose":[26],"objective":[27],"to":[29,89,137],"cluster":[30],"collection":[32],"evolving":[34,44,72,149],"points":[36,54],"lie":[38],"on":[39,100,154],"union":[41],"low-dimensional":[43],"subspaces.":[45],"To":[46,84],"learn":[47],"the":[48,52,67,71,80,90,106,121,162],"parsimonious":[49,107],"representation":[50,78,108],"at":[55],"each":[56],"step,":[58],"we":[59,95],"propose":[60],"non-convex":[62,92],"optimization":[63,93],"framework":[64,164],"exploits":[66],"self-expressiveness":[68],"property":[69],"while":[74],"taking":[75],"account":[77],"from":[79],"preceding":[81],"step.":[83],"find":[85],"an":[86,148],"approximate":[87],"solution":[88],"aforementioned":[91],"problem,":[94],"develop":[96],"scheme":[98],"based":[99],"alternating":[101],"minimization":[102],"both":[104,155,179],"learns":[105],"as":[109,111],"well":[110],"adaptively":[112],"tunes":[113],"and":[114,136,157,171,181],"infers":[115],"smoothing":[117],"parameter":[118],"reflective":[119],"rate":[122],"evolution.":[125],"latter":[127],"addresses":[128],"fundamental":[130],"challenge":[131],"clustering\u2014determining":[134],"if":[135],"what":[138],"extent":[139],"one":[140],"should":[141],"consider":[142],"previous":[143],"clustering":[144,169,174],"solutions":[145],"when":[146],"analyzing":[147],"collection.":[151],"Our":[152],"experiments":[153],"synthetic":[156],"real-world":[158],"datasets":[159],"demonstrate":[160],"proposed":[163],"outperforms":[165],"state-of-the-art":[166],"static":[167],"algorithms":[170],"existing":[172],"schemes":[175],"terms":[177],"accuracy":[180],"running":[182],"time,":[183],"range":[186],"scenarios.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}