{"id":"https://openalex.org/W2767050957","doi":"https://doi.org/10.1109/tip.2017.2767785","title":"Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation","display_name":"Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation","publication_year":2017,"publication_date":"2017-10-30","ids":{"openalex":"https://openalex.org/W2767050957","doi":"https://doi.org/10.1109/tip.2017.2767785","mag":"2767050957","pmid":"https://pubmed.ncbi.nlm.nih.gov/29757734"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2017.2767785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2767785","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5018914021","display_name":"Haijun Liu","orcid":"https://orcid.org/0000-0001-5782-4543"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haijun Liu","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039059630","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0001-6966-0531"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615165","display_name":"Wang Feng","orcid":"https://orcid.org/0000-0002-7669-2547"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wang","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018914021"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7282,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80974128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"2","first_page":"866","last_page":"878"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7168386578559875},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6050775647163391},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5232823491096497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48886221647262573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4694387912750244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4425398111343384},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.43855342268943787},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4225609600543976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38792967796325684}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7168386578559875},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6050775647163391},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5232823491096497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48886221647262573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4694387912750244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4425398111343384},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.43855342268943787},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4225609600543976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38792967796325684},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2017.2767785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2017.2767785","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:29757734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29757734","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G3881066662","display_name":null,"funder_award_id":"PAL-N201401","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"},{"id":"https://openalex.org/G61891014","display_name":null,"funder_award_id":"61671125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608978307","display_name":null,"funder_award_id":"61201271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8522688713","display_name":null,"funder_award_id":"61301269","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/F4320335661","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W157583248","https://openalex.org/W225975350","https://openalex.org/W1419088531","https://openalex.org/W1540764732","https://openalex.org/W1582260546","https://openalex.org/W1600471557","https://openalex.org/W1890623278","https://openalex.org/W1964590153","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2018759642","https://openalex.org/W2047747985","https://openalex.org/W2053186076","https://openalex.org/W2088748973","https://openalex.org/W2093655440","https://openalex.org/W2107962625","https://openalex.org/W2116324873","https://openalex.org/W2121947440","https://openalex.org/W2125874614","https://openalex.org/W2145152441","https://openalex.org/W2154872931","https://openalex.org/W2156550040","https://openalex.org/W2160616617","https://openalex.org/W2164278908","https://openalex.org/W2166371785","https://openalex.org/W2177347332","https://openalex.org/W2293193551","https://openalex.org/W2443602434","https://openalex.org/W2491112923","https://openalex.org/W2589302809","https://openalex.org/W2731903237","https://openalex.org/W2963840432","https://openalex.org/W4235618170","https://openalex.org/W4292363360","https://openalex.org/W6606386721","https://openalex.org/W6635884019","https://openalex.org/W6662400101","https://openalex.org/W6684213969"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2364594919","https://openalex.org/W2361092061","https://openalex.org/W1861706286","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2219338811","https://openalex.org/W2149583853"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3,26,74,85,96],"novel":[4,27],"sequential":[5,10,55,79,157,162],"subspace":[6,18,22,80,158],"clustering":[7,159],"method":[8,108,132,160],"for":[9,73,127,161],"data.":[11,56,163],"Inspired":[12],"by":[13],"the":[14,34,41,50,61,69,92,104,114,118,142,150,153],"state-of-the-art":[15,143],"methods,":[16],"ordered":[17],"clustering,":[19,23,81],"and":[20,98,117,139],"temporal":[21,29,37,51,63,155],"we":[24,58],"design":[25],"local":[28,62],"regularization":[30,64,72],"term":[31],"based":[32,102],"on":[33,44,103,145],"concept":[35],"of":[36,152],"predictability.":[38],"Through":[39],"minimizing":[40],"short-term":[42],"variance":[43],"historical":[45],"data,":[46],"it":[47],"can":[48],"recover":[49],"smoothness":[52,156],"relationships":[53],"in":[54],"Moreover,":[57],"claim":[59],"that":[60],"is":[65,109],"more":[66],"important":[67],"than":[68],"global":[70],"structural":[71],"specific":[75],"task,":[76],"such":[77],"as":[78],"which":[82],"leads":[83],"to":[84,111],"concise":[86],"minimization":[87],"objective":[88,94],"function.":[89],"To":[90],"solve":[91],"bi-convex":[93],"function,":[95],"simple":[97],"efficient":[99],"optimization":[100],"algorithm":[101],"alternate":[105],"convex":[106],"search":[107],"devised":[110,126],"jointly":[112],"learn":[113],"coding":[115],"matrix":[116],"dictionary.":[119],"Furthermore,":[120],"five":[121],"baseline":[122],"methods":[123,144],"are":[124],"also":[125],"comparison":[128],"with":[129,141],"our":[130],"proposed":[131,154],"from":[133],"different":[134],"aspects.":[135],"Extensive":[136],"experimental":[137],"results":[138],"comparisons":[140],"three":[146],"data":[147],"sets":[148],"demonstrate":[149],"effectiveness":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}