{"id":"https://openalex.org/W3158855818","doi":"https://doi.org/10.1007/s10589-021-00279-2","title":"Matrix optimization based Euclidean embedding with outliers","display_name":"Matrix optimization based Euclidean embedding with outliers","publication_year":2021,"publication_date":"2021-04-28","ids":{"openalex":"https://openalex.org/W3158855818","doi":"https://doi.org/10.1007/s10589-021-00279-2","mag":"3158855818"},"language":"en","primary_location":{"id":"doi:10.1007/s10589-021-00279-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-021-00279-2","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Optimization and Applications","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/A5115603610","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-5975-9781"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["College of Applied Sciences, Beijing University of Technology, Beijing, People\u2019s Republic of China","College of Applied Sciences, Beijing University of Technology, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Sciences, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Applied Sciences, Beijing University of Technology, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100535465","display_name":"Xinyuan Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyuan Zhao","raw_affiliation_strings":["College of Applied Sciences, Beijing University of Technology, Beijing, People\u2019s Republic of China","College of Applied Sciences, Beijing University of Technology, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Sciences, Beijing University of Technology, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"College of Applied Sciences, Beijing University of Technology, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057244957","display_name":"Chao Ding","orcid":"https://orcid.org/0000-0002-4228-6700"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210120485","display_name":"Academy of Mathematics and Systems Science","ror":"https://ror.org/02jkmyk67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Ding","raw_affiliation_strings":["Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People\u2019s Republic of China","Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-4228-6700","affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People\u2019s Republic of China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]},{"raw_affiliation_string":"Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120485"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057244957"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210120485"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.3047,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46218547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"79","issue":"2","first_page":"235","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7604683041572571},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7127766609191895},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6732619404792786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5776180028915405},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5583594441413879},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5347095727920532},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5127995610237122},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.477288156747818},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44546735286712646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4207492768764496},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41750410199165344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3966367840766907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.271074116230011},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20031389594078064}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7604683041572571},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7127766609191895},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6732619404792786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5776180028915405},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5583594441413879},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5347095727920532},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5127995610237122},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.477288156747818},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44546735286712646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4207492768764496},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41750410199165344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3966367840766907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.271074116230011},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20031389594078064},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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":2,"locations":[{"id":"doi:10.1007/s10589-021-00279-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10589-021-00279-2","pdf_url":null,"source":{"id":"https://openalex.org/S39243548","display_name":"Computational Optimization and Applications","issn_l":"0926-6003","issn":["0926-6003","1573-2894"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Optimization and Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:coopap:v:79:y:2021:i:2:d:10.1007_s10589-021-00279-2","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10589-021-00279-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5375706864","display_name":"\u7f51\u7edc\u73af\u5883\u4e0b\u7684\u65b0\u578b\u7ec4\u5408\u4f18\u5316\u95ee\u9898\u7814\u7a76","funder_award_id":"11531014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5891674479","display_name":"\u57fa\u4e8e\u77e9\u9635\u4f18\u5316\u6a21\u578b\u7684\u793e\u4ea4\u7f51\u7edc\u5206\u6790\u7814\u7a76\u53ca\u5176\u5e94\u7528","funder_award_id":"11671387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6967058303","display_name":null,"funder_award_id":"11688101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8732800317","display_name":null,"funder_award_id":"11871002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8974882132","display_name":"\u77e9\u9635\u4f18\u5316\u6270\u52a8\u6027\u7406\u8bba\u53ca\u5176\u4e0e\u7b97\u6cd5\u5e94\u7528","funder_award_id":"12071464","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W340056678","https://openalex.org/W429766147","https://openalex.org/W1498282191","https://openalex.org/W1509689762","https://openalex.org/W1546851689","https://openalex.org/W1966303152","https://openalex.org/W1970136394","https://openalex.org/W1982831910","https://openalex.org/W1988543519","https://openalex.org/W1989148040","https://openalex.org/W2001266526","https://openalex.org/W2003753589","https://openalex.org/W2007304358","https://openalex.org/W2015195418","https://openalex.org/W2021108818","https://openalex.org/W2029213856","https://openalex.org/W2035539843","https://openalex.org/W2044541911","https://openalex.org/W2045983409","https://openalex.org/W2047071281","https://openalex.org/W2061681393","https://openalex.org/W2065742895","https://openalex.org/W2095534914","https://openalex.org/W2111297856","https://openalex.org/W2120872934","https://openalex.org/W2124216931","https://openalex.org/W2137130182","https://openalex.org/W2141266663","https://openalex.org/W2145962650","https://openalex.org/W2154514661","https://openalex.org/W2155813684","https://openalex.org/W2158121106","https://openalex.org/W2166163936","https://openalex.org/W2166626012","https://openalex.org/W2182110422","https://openalex.org/W2327230547","https://openalex.org/W2465368474","https://openalex.org/W2610857016","https://openalex.org/W2611328865","https://openalex.org/W2613122861","https://openalex.org/W2769190071","https://openalex.org/W2896398456","https://openalex.org/W2950190315","https://openalex.org/W2962771824","https://openalex.org/W2963244596","https://openalex.org/W2963831709","https://openalex.org/W2963862965","https://openalex.org/W2965497096","https://openalex.org/W3008034264","https://openalex.org/W3098807808","https://openalex.org/W3103870504","https://openalex.org/W3104501706","https://openalex.org/W3104624268","https://openalex.org/W3106083453","https://openalex.org/W3106324661","https://openalex.org/W3125671026","https://openalex.org/W3211643552","https://openalex.org/W4247571494","https://openalex.org/W4301425558"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729","https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W14679004"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}