{"id":"https://openalex.org/W2608486571","doi":"https://doi.org/10.1109/icpr.2016.7899801","title":"Measuring dependency via intrinsic dimensionality","display_name":"Measuring dependency via intrinsic dimensionality","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608486571","doi":"https://doi.org/10.1109/icpr.2016.7899801","mag":"2608486571"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101610657","display_name":"Simone Romano","orcid":"https://orcid.org/0000-0003-3459-0662"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["AU","JP"],"is_corresponding":false,"raw_author_name":"Simone Romano","raw_affiliation_strings":["CIS Department, The University of Melbourne, Australia","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIS Department, The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065976672","display_name":"Oussama Chelly","orcid":"https://orcid.org/0000-0001-6330-3971"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Oussama Chelly","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vinh Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vinh Nguyen","raw_affiliation_strings":["CIS Department, The University of Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIS Department, The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101609697","display_name":"James Bailey","orcid":"https://orcid.org/0000-0002-3769-3811"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"James Bailey","raw_affiliation_strings":["CIS Department, The University of Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIS Department, The University of Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025538864","display_name":"Michael E. Houle","orcid":"https://orcid.org/0000-0001-8486-8015"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Michael E. Houle","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1207","last_page":"1212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9873999953269958,"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"}},"topics":[{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9873999953269958,"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/T10320","display_name":"Neural Networks and Applications","score":0.9650999903678894,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9496999979019165,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.8813372850418091},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.8673127889633179},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.752811849117279},{"id":"https://openalex.org/keywords/intrinsic-dimension","display_name":"Intrinsic dimension","score":0.7477203011512756},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800158977508545},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5696462392807007},{"id":"https://openalex.org/keywords/functional-dependency","display_name":"Functional dependency","score":0.5443172454833984},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5169950723648071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47345608472824097},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4361545741558075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3330209255218506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29593008756637573},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16031569242477417}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.8813372850418091},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.8673127889633179},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.752811849117279},{"id":"https://openalex.org/C30732413","wikidata":"https://www.wikidata.org/wiki/Q17092636","display_name":"Intrinsic dimension","level":3,"score":0.7477203011512756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800158977508545},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5696462392807007},{"id":"https://openalex.org/C26320393","wikidata":"https://www.wikidata.org/wiki/Q597053","display_name":"Functional dependency","level":3,"score":0.5443172454833984},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5169950723648071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47345608472824097},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4361545741558075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3330209255218506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29593008756637573},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16031569242477417},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4481040435","display_name":"Practical and Effective Data Mining Via Local Intrinsic Dimensional Modeling","funder_award_id":"15H02753","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W232667783","https://openalex.org/W1605218261","https://openalex.org/W1970647353","https://openalex.org/W2005914283","https://openalex.org/W2048649579","https://openalex.org/W2056651346","https://openalex.org/W2070174935","https://openalex.org/W2084434464","https://openalex.org/W2092939357","https://openalex.org/W2099442408","https://openalex.org/W2100567442","https://openalex.org/W2114921207","https://openalex.org/W2122882636","https://openalex.org/W2157169955","https://openalex.org/W2165700458","https://openalex.org/W2203847944","https://openalex.org/W2239259578","https://openalex.org/W2316630624","https://openalex.org/W2467203645","https://openalex.org/W2949194372","https://openalex.org/W2963819994","https://openalex.org/W2964313895","https://openalex.org/W3124884925","https://openalex.org/W6609088238","https://openalex.org/W6636172431","https://openalex.org/W6683389101","https://openalex.org/W6689840473"],"related_works":["https://openalex.org/W2392606101","https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W4206911031","https://openalex.org/W3162070149","https://openalex.org/W1552543208","https://openalex.org/W2072918301","https://openalex.org/W2150591619","https://openalex.org/W2166963679"],"abstract_inverted_index":{"Measuring":[0],"the":[1,16,28,68],"amount":[2],"of":[3,30,49,67,101],"dependency":[4,22,39,76,109],"among":[5],"multiple":[6],"variables":[7,42,55],"is":[8],"an":[9,45],"important":[10],"task":[11],"in":[12],"pattern":[13],"recognition.":[14],"In":[15,33],"last":[17],"few":[18],"years,":[19],"many":[20],"new":[21],"measures":[23,122],"have":[24],"been":[25],"developed":[26],"for":[27],"exploration":[29],"functional":[31],"relationships.":[32],"this":[34],"paper,":[35],"we":[36,81,105],"develop":[37],"a":[38,75,84],"measure":[40,53,77,110],"between":[41,86],"based":[43],"on":[44,78,123],"extreme-value":[46],"theoretic":[47],"treatment":[48],"intrinsic":[50,58,90,102],"dimensionality.":[51,103],"Our":[52],"identifies":[54],"with":[56],"low":[57],"dimension":[59],"-":[60],"that":[61,64,107,115],"is,":[62],"those":[63],"support":[65],"embeddings":[66],"data":[69],"within":[70],"low-dimensional":[71],"manifolds.":[72],"To":[73],"build":[74],"strong":[79],"foundations,":[80],"theoretically":[82],"prove":[83],"connection":[85],"information":[87],"theory":[88],"and":[89,125],"dimensionality":[91],"theory.":[92],"This":[93],"allows":[94],"us":[95],"also":[96],"to":[97,112],"propose":[98],"novel":[99],"estimators":[100],"Finally,":[104],"show":[106],"our":[108],"enables":[111],"find":[113],"patterns":[114],"cannot":[116],"be":[117],"found":[118],"by":[119],"other":[120],"state-of-the-art":[121],"real":[124],"synthetic":[126],"data.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}