{"id":"https://openalex.org/W2591340095","doi":"https://doi.org/10.1109/tmm.2019.2923097","title":"Online Robust Principal Component Analysis With Change Point Detection","display_name":"Online Robust Principal Component Analysis With Change Point Detection","publication_year":2019,"publication_date":"2019-06-14","ids":{"openalex":"https://openalex.org/W2591340095","doi":"https://doi.org/10.1109/tmm.2019.2923097","mag":"2591340095"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2019.2923097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2923097","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5003594370","display_name":"Wei Xiao","orcid":"https://orcid.org/0000-0002-4418-0555"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]},{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Xiao","raw_affiliation_strings":["Amazon, Inc., Seattle, USA","SAS Institute, Cary, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Inc., Seattle, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I58610484"]},{"raw_affiliation_string":"SAS Institute, Cary, USA","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026169938","display_name":"Xiaolin Huang","orcid":"https://orcid.org/0000-0003-4285-6520"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Huang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China","MOE Key Laboratory of System Control and Information Processing, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MOE Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026094492","display_name":"Fan He","orcid":"https://orcid.org/0000-0003-3497-3700"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan He","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China","MOE Key Laboratory of System Control and Information Processing, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MOE Key Laboratory of System Control and Information Processing, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450953","display_name":"Jorge Silva","orcid":"https://orcid.org/0000-0002-7409-8608"},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Silva","raw_affiliation_strings":["SAS Institute Inc., Cary, USA"],"affiliations":[{"raw_affiliation_string":"SAS Institute Inc., Cary, USA","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009835496","display_name":"Saba Emrani","orcid":null},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]},{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saba Emrani","raw_affiliation_strings":["Apple Inc, Cupertino, USA","SAS Institute Inc., Cary, USA"],"affiliations":[{"raw_affiliation_string":"Apple Inc, Cupertino, USA","institution_ids":["https://openalex.org/I4210153776"]},{"raw_affiliation_string":"SAS Institute Inc., Cary, USA","institution_ids":["https://openalex.org/I122754148"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050498604","display_name":"Arin Chaudhuri","orcid":"https://orcid.org/0000-0002-3398-2800"},"institutions":[{"id":"https://openalex.org/I122754148","display_name":"SAS Institute (United States)","ror":"https://ror.org/01093z329","country_code":"US","type":"company","lineage":["https://openalex.org/I122754148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arin Chaudhuri","raw_affiliation_strings":["SAS Institute Inc., Cary, USA"],"affiliations":[{"raw_affiliation_string":"SAS Institute Inc., Cary, USA","institution_ids":["https://openalex.org/I122754148"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003594370"],"corresponding_institution_ids":["https://openalex.org/I122754148","https://openalex.org/I1311688040","https://openalex.org/I58610484"],"apc_list":null,"apc_paid":null,"fwci":2.1311,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.84432441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"59","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9932000041007996,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8896082043647766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.785982608795166},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.700961172580719},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6897329092025757},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.6598014831542969},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5468333959579468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277153849601746},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5154996514320374},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4453483819961548},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3700641989707947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33592164516448975},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.1725529432296753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13440757989883423}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8896082043647766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785982608795166},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.700961172580719},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6897329092025757},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.6598014831542969},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5468333959579468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277153849601746},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5154996514320374},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4453483819961548},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3700641989707947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33592164516448975},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.1725529432296753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13440757989883423},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2019.2923097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2019.2923097","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3751674359","display_name":null,"funder_award_id":"IMR2018QY01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8555058780","display_name":null,"funder_award_id":"61603248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311090","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332603","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1506911060","https://openalex.org/W1513013675","https://openalex.org/W1919155910","https://openalex.org/W1967336819","https://openalex.org/W1975189025","https://openalex.org/W1992633833","https://openalex.org/W1995168330","https://openalex.org/W1997201895","https://openalex.org/W2018341990","https://openalex.org/W2045983409","https://openalex.org/W2087445541","https://openalex.org/W2091741383","https://openalex.org/W2096608935","https://openalex.org/W2096642693","https://openalex.org/W2103633133","https://openalex.org/W2111861511","https://openalex.org/W2118550318","https://openalex.org/W2131628350","https://openalex.org/W2145962650","https://openalex.org/W2150489380","https://openalex.org/W2154992274","https://openalex.org/W2155813684","https://openalex.org/W2162654459","https://openalex.org/W2165916500","https://openalex.org/W2277192409","https://openalex.org/W2344260814","https://openalex.org/W2480572218","https://openalex.org/W2540006896","https://openalex.org/W2611328865","https://openalex.org/W2773706250","https://openalex.org/W2790795024","https://openalex.org/W2915029616","https://openalex.org/W2953018387","https://openalex.org/W2962834831","https://openalex.org/W3007645331","https://openalex.org/W3103526270","https://openalex.org/W6608094899","https://openalex.org/W6630108103","https://openalex.org/W6640220554","https://openalex.org/W6674909129","https://openalex.org/W6675158139","https://openalex.org/W6676047094","https://openalex.org/W6679973066","https://openalex.org/W6682766550","https://openalex.org/W6750851847","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1964760042","https://openalex.org/W4283792950","https://openalex.org/W2549425886","https://openalex.org/W2124460284","https://openalex.org/W2563483704","https://openalex.org/W3124370832","https://openalex.org/W3003801099","https://openalex.org/W2003667605","https://openalex.org/W62130100","https://openalex.org/W1980960407"],"abstract_inverted_index":{"Robust":[0],"principal":[1,59],"component":[2,60],"analysis":[3,61],"(PCA)":[4],"is":[5],"a":[6],"key":[7],"technique":[8],"for":[9,17,40],"dynamical":[10],"high-dimensional":[11],"data":[12],"analysis,":[13],"including":[14,100],"background":[15,102],"subtraction":[16],"surveillance":[18],"video.":[19],"Typically,":[20],"robust":[21,37,51,58],"PCA":[22,38,52],"requires":[23],"all":[24],"observations":[25],"to":[26,89],"be":[27],"stored":[28],"in":[29],"memory":[30],"before":[31],"processing.":[32],"The":[33],"batch":[34],"manner":[35],"makes":[36],"inefficient":[39],"big":[41],"data.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"develop":[47],"an":[48],"efficient":[49],"online":[50,55],"method,":[53],"namely,":[54],"moving":[56],"window":[57],"(OMWRPCA).":[62],"Unlike":[63],"the":[64,85,94,105],"existing":[65],"algorithms,":[66],"OMWRPCA":[67,88,109],"can":[68],"successfully":[69],"track":[70],"not":[71],"only":[72],"slowly":[73],"changing":[74,79],"subspaces":[75],"but":[76],"also":[77],"abruptly":[78],"subspaces.":[80,96],"Embedding":[81],"hypothesis":[82],"testing":[83],"into":[84],"algorithm":[86],"enables":[87],"detect":[90],"change":[91],"points":[92],"of":[93,108],"underlying":[95],"Extensive":[97],"numerical":[98],"experiments,":[99],"real-time":[101],"subtraction,":[103],"demonstrate":[104],"superior":[106],"performance":[107],"compared":[110],"with":[111],"other":[112],"state-of-the-art":[113],"approaches.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}