{"id":"https://openalex.org/W1605379937","doi":"https://doi.org/10.1109/icassp.2015.7178735","title":"A robust online subspace estimation and tracking algorithm","display_name":"A robust online subspace estimation and tracking algorithm","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1605379937","doi":"https://doi.org/10.1109/icassp.2015.7178735","mag":"1605379937"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5101648073","display_name":"Hassan Mansour","orcid":"https://orcid.org/0000-0002-1667-9885"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hassan Mansour","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories Cambridge, MA","Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories Cambridge, MA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091239383","display_name":"Xin Jiang","orcid":"https://orcid.org/0000-0003-1231-8529"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Jiang","raw_affiliation_strings":["Electrical and Computer Engineering Duke University Durham, NC","Electrical and Computer Engineering, Duke University, Durham, NC 27708-0291, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Duke University Durham, NC","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Duke University, Durham, NC 27708-0291, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101648073"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":4.5484,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94276793,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"abs 1106 3286","issue":null,"first_page":"4065","last_page":"4069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.8034573793411255},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.767242431640625},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6623071432113647},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6572462916374207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5758801102638245},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5532417893409729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5359936952590942},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42191627621650696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3616989254951477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35613301396369934},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.11622583866119385}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.8034573793411255},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.767242431640625},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6623071432113647},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6572462916374207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5758801102638245},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5532417893409729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5359936952590942},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42191627621650696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3616989254951477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35613301396369934},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.11622583866119385},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1506911060","https://openalex.org/W1740425075","https://openalex.org/W1919155910","https://openalex.org/W1974192600","https://openalex.org/W1998925295","https://openalex.org/W2071041079","https://openalex.org/W2075406189","https://openalex.org/W2105767123","https://openalex.org/W2118550318","https://openalex.org/W2128658063","https://openalex.org/W2131628350","https://openalex.org/W2134583708","https://openalex.org/W2145962650","https://openalex.org/W2154992274","https://openalex.org/W2164278908","https://openalex.org/W2166163936","https://openalex.org/W2171116555","https://openalex.org/W2952863519","https://openalex.org/W2962834831","https://openalex.org/W2963958726","https://openalex.org/W3104501706","https://openalex.org/W4292363360","https://openalex.org/W6630108103","https://openalex.org/W6637787081","https://openalex.org/W6640220554","https://openalex.org/W6679973066","https://openalex.org/W6682766550","https://openalex.org/W6764468126"],"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/W1995723671","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,21,39,77,91],"robust":[6,40],"online":[7],"subspace":[8,25,72],"estimation":[9],"and":[10,19,29,52,62,70,90,101],"tracking":[11,20,102],"algorithm":[12,37],"(ROSETA)":[13],"that":[14,96],"is":[15,74],"capable":[16],"of":[17,33,112],"identifying":[18,100],"time-varying":[22],"low":[23,103],"dimensional":[24,104],"from":[26],"incomplete":[27],"measurements":[28,51],"in":[30,99],"the":[31,49,56,71],"presence":[32],"sparse":[34,63],"outliers.":[35],"Our":[36],"minimizes":[38],"\u2113":[41],"<sub":[42],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[43],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[44],"norm":[45],"cost":[46],"function":[47],"between":[48],"observed":[50],"their":[53],"projection":[54,60],"onto":[55],"estimated":[57],"subspace.":[58],"The":[59],"coefficients":[61],"outliers":[64],"are":[65],"computed":[66],"using":[67,76,87,106],"ADMM":[68],"solver":[69],"estimate":[73],"updated":[75],"proximal":[78],"point":[79],"iteration":[80],"with":[81],"adaptive":[82],"parameter":[83],"selection.":[84],"We":[85],"demonstrate":[86],"simulated":[88],"experiments":[89],"video":[92],"background":[93],"subtraction":[94],"example":[95],"ROSETA":[97],"succeeds":[98],"subspaces":[105],"fewer":[107],"iterations":[108],"than":[109],"other":[110],"state":[111],"art":[113],"algorithms.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}