{"id":"https://openalex.org/W3015683675","doi":"https://doi.org/10.1109/icassp40776.2020.9053548","title":"On Robust Variance Filtering and Change of Variance Detection","display_name":"On Robust Variance Filtering and Change of Variance Detection","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015683675","doi":"https://doi.org/10.1109/icassp40776.2020.9053548","mag":"3015683675"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5048346353","display_name":"Qingsong Wen","orcid":"https://orcid.org/0000-0003-4516-2524"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]},{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingsong Wen","raw_affiliation_strings":["Machine Intelligence Technology, Alibaba Group, Bellevue, USA"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Technology, Alibaba Group, Bellevue, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112519330","display_name":"Zhengzhi Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengzhi Ma","raw_affiliation_strings":["Department of Physics and Astronomy, University of Southern California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Astronomy, University of Southern California, Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101865164","display_name":"Liang Sun","orcid":"https://orcid.org/0000-0003-3856-1383"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Sun","raw_affiliation_strings":["Machine Intelligence Technology, Alibaba Group, Bellevue, USA"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Technology, Alibaba Group, Bellevue, USA","institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048346353"],"corresponding_institution_ids":["https://openalex.org/I4210095624","https://openalex.org/I4210108985"],"apc_list":null,"apc_paid":null,"fwci":1.1662,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75427817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3012","last_page":"3016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.8370717167854309},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7907172441482544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643702507019043},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5991635918617249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4774251878261566},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46119949221611023},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44360843300819397},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4214927554130554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40520691871643066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39918750524520874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37470176815986633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35771363973617554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2407214641571045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23091280460357666}],"concepts":[{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.8370717167854309},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7907172441482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643702507019043},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5991635918617249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4774251878261566},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46119949221611023},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44360843300819397},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4214927554130554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40520691871643066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39918750524520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37470176815986633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35771363973617554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2407214641571045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23091280460357666},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1583212391","https://openalex.org/W1793984240","https://openalex.org/W1975684011","https://openalex.org/W2047287351","https://openalex.org/W2075304461","https://openalex.org/W2088563154","https://openalex.org/W2089700840","https://openalex.org/W2092663520","https://openalex.org/W2093606067","https://openalex.org/W2125793385","https://openalex.org/W2189029542","https://openalex.org/W2345946412","https://openalex.org/W2515822248","https://openalex.org/W2688936186","https://openalex.org/W2748268306","https://openalex.org/W2799765340","https://openalex.org/W2909693411","https://openalex.org/W2964758013","https://openalex.org/W2964938828","https://openalex.org/W3098561233","https://openalex.org/W3103145119","https://openalex.org/W3147156755","https://openalex.org/W4205806204","https://openalex.org/W6634750755","https://openalex.org/W6743313740","https://openalex.org/W6750376494"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2937099569","https://openalex.org/W3005992387"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,30,102],"variance":[4,9,76,85],"filtering":[5],"and":[6,60,75,84,87,121],"change":[7,14,90],"of":[8,101],"(CoV)":[10],"detection":[11,25,54,96,116],"under":[12],"multiple":[13],"points":[15,91],"in":[16,72],"time":[17,31],"series":[18,32],"signal.":[19],"In":[20],"real":[21],"world":[22],"scenarios,":[23],"CoV":[24,53,110,115],"can":[26],"be":[27],"challenging":[28],"since":[29],"signal":[33],"may":[34],"contain":[35],"not":[36],"only":[37],"outliers":[38,70],"but":[39],"also":[40],"abrupt":[41],"trend":[42,73,83],"changes.":[43],"To":[44],"deal":[45],"with":[46,112],"these":[47],"challenges,":[48],"we":[49,64],"propose":[50],"a":[51],"robust":[52,58,109],"algorithm":[55,111,129],"based":[56],"on":[57,118],"statistics":[59],"sparse":[61,79],"regularizations.":[62],"Specifically,":[63],"adopt":[65],"Huber":[66],"loss":[67],"to":[68,81],"suppress":[69],"both":[71,119],"removal":[74],"filtering,":[77],"utilize":[78],"regu-larizations":[80],"capture":[82],"changes,":[86],"obtain":[88],"accurate":[89],"locations":[92],"by":[93],"using":[94],"breakpoint":[95],"for":[97],"centered":[98],"cumulative":[99],"sum":[100],"estimated":[103],"variance.":[104],"We":[105],"compare":[106],"our":[107,128],"proposed":[108],"other":[113],"state-of-the-art":[114],"algorithms":[117],"synthetic":[120],"public":[122],"datasets.":[123],"The":[124],"experiments":[125],"demonstrate":[126],"that":[127],"outperforms":[130],"existing":[131],"methods.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
