{"id":"https://openalex.org/W2787729530","doi":"https://doi.org/10.1109/icassp.2018.8462306","title":"A Dimension-Independent Discriminant Between Distributions","display_name":"A Dimension-Independent Discriminant Between Distributions","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2787729530","doi":"https://doi.org/10.1109/icassp.2018.8462306","mag":"2787729530"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.04497","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081523775","display_name":"Salimeh Yasaei Sekeh","orcid":"https://orcid.org/0000-0002-0854-5422"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Salimeh Yasaei Sekeh","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030561935","display_name":"Brandon Oselio","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Oselio","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692655","display_name":"Alfred O. Hero","orcid":"https://orcid.org/0000-0002-2531-9670"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfred O. Hero","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, 1301 Beal Ave., Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081523775"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.31434509,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53025362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"57","issue":null,"first_page":"4419","last_page":"4423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991999864578247,"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":0.9991999864578247,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9987999796867371,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.7226876020431519},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6590550541877747},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6244263648986816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5911697149276733},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5389754176139832},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49522438645362854},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4884985685348511},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.48454466462135315},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4296859800815582},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4137928783893585},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3513254225254059},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33957478404045105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32394275069236755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32333317399024963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30405500531196594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30181461572647095},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2649964690208435},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11326292157173157},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08944067358970642}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7226876020431519},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6590550541877747},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6244263648986816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5911697149276733},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5389754176139832},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49522438645362854},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4884985685348511},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48454466462135315},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4296859800815582},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4137928783893585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3513254225254059},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33957478404045105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32394275069236755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32333317399024963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30405500531196594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30181461572647095},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2649964690208435},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11326292157173157},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08944067358970642},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2018.8462306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.04497","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04497","pdf_url":"https://arxiv.org/pdf/1802.04497","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2787729530","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1802.04497v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1802.04497","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1802.04497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.04497","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.04497","pdf_url":"https://arxiv.org/pdf/1802.04497","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2787729530.pdf","grobid_xml":"https://content.openalex.org/works/W2787729530.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W26184150","https://openalex.org/W1489238841","https://openalex.org/W1969557815","https://openalex.org/W2014068360","https://openalex.org/W2015610066","https://openalex.org/W2016552385","https://openalex.org/W2025890108","https://openalex.org/W2027390033","https://openalex.org/W2030203876","https://openalex.org/W2055309977","https://openalex.org/W2068276287","https://openalex.org/W2109359066","https://openalex.org/W2132008222","https://openalex.org/W2132138475","https://openalex.org/W2140935196","https://openalex.org/W2166260727","https://openalex.org/W2168972885","https://openalex.org/W2218423201","https://openalex.org/W2519513981","https://openalex.org/W2951894377","https://openalex.org/W3120740533","https://openalex.org/W6606071154"],"related_works":["https://openalex.org/W2189070917","https://openalex.org/W2060931694","https://openalex.org/W1992581342","https://openalex.org/W2162882658","https://openalex.org/W2962816877","https://openalex.org/W1993693750","https://openalex.org/W2124083668","https://openalex.org/W2003952658","https://openalex.org/W3180484322","https://openalex.org/W767549206","https://openalex.org/W2084376138","https://openalex.org/W2900029572","https://openalex.org/W2149570704","https://openalex.org/W169342906","https://openalex.org/W3179776685","https://openalex.org/W2263859115","https://openalex.org/W34050557","https://openalex.org/W3006564098","https://openalex.org/W2763025195","https://openalex.org/W2552148758"],"abstract_inverted_index":{"Henze-Penrose":[0,44],"divergence":[1,5],"is":[2,61,66],"a":[3,13,20,30],"non-parametric":[4],"measure":[6],"that":[7,29],"can":[8,38],"be":[9,39],"used":[10,40],"to":[11,41,72,75],"estimate":[12,43],"bound":[14],"on":[15,34,51],"the":[16,52,58],"Bayes":[17,77],"error":[18,78],"in":[19],"binary":[21],"classification":[22],"problem.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27],"show":[28],"cross-match":[31],"statistic":[32],"based":[33,50],"optimal":[35],"weighted":[36],"matching":[37],"directly":[42],"divergence.":[45],"Unlike":[46],"an":[47],"earlier":[48],"approach":[49,65],"Friedman-Rafsky":[53],"minimal":[54],"spanning":[55],"tree":[56],"statistic,":[57],"proposed":[59],"method":[60],"dimension-independent.":[62],"The":[63],"new":[64],"evaluated":[67],"using":[68],"simulation":[69],"and":[70],"applied":[71],"real":[73],"datasets":[74],"obtain":[76],"estimates.":[79]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}