{"id":"https://openalex.org/W3160630966","doi":"https://doi.org/10.1109/icassp39728.2021.9414849","title":"Correlation-Based Robust Linear Regression with Iterative Outlier Removal","display_name":"Correlation-Based Robust Linear Regression with Iterative Outlier Removal","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160630966","doi":"https://doi.org/10.1109/icassp39728.2021.9414849","mag":"3160630966"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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/A5022371410","display_name":"Jian\u2013Jiun Ding","orcid":"https://orcid.org/0000-0003-4510-2273"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Ding","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University, Xi'an, China","Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101587109","display_name":"Jianji Wang","orcid":"https://orcid.org/0000-0002-4284-3933"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianji Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333712","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-4017-3681"},"institutions":[{"id":"https://openalex.org/I4210091069","display_name":"Dongfang Electric Corporation (China)","ror":"https://ror.org/00az85j53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["DongFang Electric machinery Co., Ltd, Deyang, China"],"affiliations":[{"raw_affiliation_string":"DongFang Electric machinery Co., Ltd, Deyang, China","institution_ids":["https://openalex.org/I4210091069"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101497980","display_name":"Yuanjie Li","orcid":"https://orcid.org/0000-0001-5931-3894"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanjie Li","raw_affiliation_strings":["DEC Academy of Science and Technology Co., Ltd, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"DEC Academy of Science and Technology Co., Ltd, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022371410"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.232,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56061358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"523","issue":null,"first_page":"5594","last_page":"5598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"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/outlier","display_name":"Outlier","score":0.8825430870056152},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.659701943397522},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5788030028343201},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5775730609893799},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.572173535823822},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.5615991950035095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4662116467952728},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46089428663253784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4327356219291687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4158168435096741},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4107228219509125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40216463804244995},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3475550711154938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33718544244766235}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8825430870056152},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.659701943397522},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5788030028343201},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5775730609893799},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.572173535823822},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.5615991950035095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4662116467952728},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46089428663253784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4327356219291687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4158168435096741},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4107228219509125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40216463804244995},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3475550711154938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33718544244766235},{"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/icassp39728.2021.9414849","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1921852354","https://openalex.org/W2009086487","https://openalex.org/W2014697905","https://openalex.org/W2014896416","https://openalex.org/W2026375818","https://openalex.org/W2029867649","https://openalex.org/W2049191257","https://openalex.org/W2085261163","https://openalex.org/W2129131372","https://openalex.org/W2130017587","https://openalex.org/W2145962650","https://openalex.org/W2152701363","https://openalex.org/W2162840817","https://openalex.org/W2167157155","https://openalex.org/W2245191586","https://openalex.org/W2545834714","https://openalex.org/W2560720672","https://openalex.org/W2594519801","https://openalex.org/W2891189546","https://openalex.org/W2898351852","https://openalex.org/W4242010931","https://openalex.org/W6640009317","https://openalex.org/W6690980336","https://openalex.org/W6729099241","https://openalex.org/W6730890941","https://openalex.org/W6754555501"],"related_works":["https://openalex.org/W2801807510","https://openalex.org/W2004250700","https://openalex.org/W2325374573","https://openalex.org/W2093923460","https://openalex.org/W3132099770","https://openalex.org/W2031329204","https://openalex.org/W2018697919","https://openalex.org/W2508231025","https://openalex.org/W4249094282","https://openalex.org/W3160630966"],"abstract_inverted_index":{"Here":[0],"we":[1],"consider":[2],"linear":[3,76],"regression":[4,14],"from":[5,23],"the":[6,24,27,39,45,61,75,82,90,94,107,113],"view":[7],"of":[8,19,41,47],"correlation":[9],"and":[10,38],"propose":[11],"a":[12,31,68],"robust":[13],"algorithm.":[15],"The":[16,85],"main":[17],"idea":[18],"this":[20],"work":[21],"is":[22,78],"fact":[25],"that":[26,89],"inliers":[28],"lying":[29],"in":[30,67,100],"low":[32],"dimensional":[33],"subspace":[34],"are":[35,103],"mostly":[36],"correlated,":[37],"presence":[40],"outliers":[42,62,102],"leads":[43],"to":[44],"decrease":[46],"correlation.":[48],"We":[49],"design":[50],"an":[51],"iterative":[52],"outlier":[53],"removal":[54],"algorithm":[55],"based":[56,80],"on":[57,81],"correlation,":[58],"by":[59],"which":[60,101],"can":[63,110],"be":[64],"effectively":[65],"removed":[66],"normal-distributed":[69],"or":[70],"uniform-distributed":[71],"data":[72],"set.":[73],"Finally,":[74],"equation":[77],"calculated":[79],"remaining":[83],"points.":[84],"experiment":[86],"results":[87],"show":[88],"proposed":[91,108],"method":[92,109],"outperforms":[93],"state-of-the-art":[95],"approaches.":[96],"In":[97],"some":[98],"cases":[99],"more":[104],"than":[105],"inliers,":[106],"still":[111],"obtain":[112],"real":[114],"formulas.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
