{"id":"https://openalex.org/W2547406430","doi":"https://doi.org/10.1109/tsp.2016.2625265","title":"Robust Multidimensional Scaling Using a Maximum Correntropy Criterion","display_name":"Robust Multidimensional Scaling Using a Maximum Correntropy Criterion","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2547406430","doi":"https://doi.org/10.1109/tsp.2016.2625265","mag":"2547406430"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2016.2625265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2625265","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5051404366","display_name":"Fotios Mandanas","orcid":"https://orcid.org/0000-0001-5622-9507"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Fotios D. Mandanas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065184406","display_name":"Constantine Kotropoulos","orcid":"https://orcid.org/0000-0001-9939-7930"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Constantine L. Kotropoulos","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051404366"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":4.3218,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.9423895,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"65","issue":"4","first_page":"919","last_page":"932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9980999827384949,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.6987927556037903},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6500649452209473},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.6383682489395142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5979930758476257},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.50440514087677},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4759126305580139},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4666685163974762},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.46622586250305176},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4423626661300659},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4420730769634247},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39829009771347046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3621995449066162},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3563580811023712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3285245895385742},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13983377814292908}],"concepts":[{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.6987927556037903},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6500649452209473},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6383682489395142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5979930758476257},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.50440514087677},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4759126305580139},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4666685163974762},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.46622586250305176},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4423626661300659},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4420730769634247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39829009771347046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3621995449066162},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3563580811023712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3285245895385742},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13983377814292908},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2016.2625265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2016.2625265","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1479963486","https://openalex.org/W1506014003","https://openalex.org/W1782522536","https://openalex.org/W1821811819","https://openalex.org/W1973192023","https://openalex.org/W1974851736","https://openalex.org/W1982898284","https://openalex.org/W1983874789","https://openalex.org/W1990151153","https://openalex.org/W1993436046","https://openalex.org/W1996726072","https://openalex.org/W1999288870","https://openalex.org/W2001141328","https://openalex.org/W2004473847","https://openalex.org/W2007371521","https://openalex.org/W2010486434","https://openalex.org/W2010535094","https://openalex.org/W2016621403","https://openalex.org/W2030507150","https://openalex.org/W2046033161","https://openalex.org/W2050849575","https://openalex.org/W2067752346","https://openalex.org/W2069421937","https://openalex.org/W2080744942","https://openalex.org/W2099918640","https://openalex.org/W2100274378","https://openalex.org/W2113713615","https://openalex.org/W2116641053","https://openalex.org/W2134312057","https://openalex.org/W2134921160","https://openalex.org/W2135160607","https://openalex.org/W2152825437","https://openalex.org/W2166329520","https://openalex.org/W2169371330","https://openalex.org/W2172219851","https://openalex.org/W2476868371","https://openalex.org/W2492307518","https://openalex.org/W2791493629","https://openalex.org/W3012290046","https://openalex.org/W4250589301","https://openalex.org/W6749147608"],"related_works":["https://openalex.org/W4245539973","https://openalex.org/W3178440188","https://openalex.org/W4245095669","https://openalex.org/W2585755122","https://openalex.org/W3110687914","https://openalex.org/W1965275221","https://openalex.org/W1492753585","https://openalex.org/W4250155888","https://openalex.org/W2357668301","https://openalex.org/W2039896269"],"abstract_inverted_index":{"Multidimensional":[0],"scaling":[1,115],"(MDS)":[2],"refers":[3],"to":[4,44,96],"a":[5,17,47,60,118],"class":[6],"of":[7,59],"dimensionality":[8],"reduction":[9],"techniques,":[10,112],"which":[11,63],"represent":[12],"entities":[13,31],"as":[14,32,34,57],"points":[15],"in":[16,69],"low-dimensional":[18],"space":[19],"so":[20],"that":[21,137],"the":[22,26,53,90,114,121,126,130,138,145],"interpoint":[23],"distances":[24],"approximate":[25],"initial":[27,83],"pairwise":[28],"dissimilarities":[29],"between":[30],"closely":[33,94],"possible.":[35],"The":[36,133],"traditional":[37],"methods":[38],"for":[39],"solving":[40],"MDS":[41,54,78,111,128],"are":[42,101,105],"susceptible":[43],"outliers.":[45],"Here,":[46],"unified":[48],"framework":[49],"is":[50,55,64,93],"proposed,":[51],"where":[52],"treated":[56],"maximization":[58],"correntropy":[61,91],"criterion,":[62],"solved":[65],"by":[66,116],"half-quadratic":[67],"optimization":[68],"either":[70],"multiplicative":[71],"or":[72],"additive":[73],"forms.":[74],"By":[75],"doing":[76],"so,":[77],"can":[79],"cope":[80],"with":[81,87],"an":[82],"dissimilarity":[84],"matrix":[85],"contaminated":[86],"outliers":[88],"because":[89],"criterion":[92],"related":[95],"M-estimators.":[97],"Three":[98],"novel":[99],"algorithms":[100,140],"derived.":[102],"Their":[103],"performances":[104],"assessed":[106],"experimentally":[107],"against":[108],"three":[109],"state-of-the-art":[110],"namely":[113],"majorizing":[117],"complicated":[119],"function,":[120],"robust":[122,127],"Euclidean":[123],"embedding,":[124],"and":[125],"under":[129],"same":[131],"conditions.":[132],"experimental":[134],"results":[135],"indicate":[136],"proposed":[139],"perform":[141],"substantially":[142],"better":[143],"than":[144],"aforementioned":[146],"competing":[147],"techniques.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}
