{"id":"https://openalex.org/W2959288310","doi":"https://doi.org/10.1007/978-3-030-32047-8_11","title":"The Role of Local Intrinsic Dimensionality in Benchmarking Nearest\u00a0Neighbor Search","display_name":"The Role of Local Intrinsic Dimensionality in Benchmarking Nearest\u00a0Neighbor Search","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2959288310","doi":"https://doi.org/10.1007/978-3-030-32047-8_11","mag":"2959288310"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-32047-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32047-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.itu.dk/portal/da/publications/42df4cfd-992e-45fa-89ba-2653904b149b","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072434673","display_name":"Martin Aum\u00fcller","orcid":"https://orcid.org/0000-0002-7212-6476"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Martin Aum\u00fcller","raw_affiliation_strings":["IT University of Copenhagen, Copenhagen, Denmark","IT-UNIVERSITY OF COPENHAGEN"],"raw_orcid":"https://orcid.org/0000-0002-7212-6476","affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]},{"raw_affiliation_string":"IT-UNIVERSITY OF COPENHAGEN","institution_ids":["https://openalex.org/I83467386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054188110","display_name":"Matteo Ceccarello","orcid":"https://orcid.org/0000-0003-2783-0218"},"institutions":[{"id":"https://openalex.org/I83467386","display_name":"IT University of Copenhagen","ror":"https://ror.org/02309jg23","country_code":"DK","type":"education","lineage":["https://openalex.org/I83467386"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Matteo Ceccarello","raw_affiliation_strings":["IT University of Copenhagen, Copenhagen, Denmark","IT-UNIVERSITY OF COPENHAGEN"],"raw_orcid":"https://orcid.org/0000-0003-2783-0218","affiliations":[{"raw_affiliation_string":"IT University of Copenhagen, Copenhagen, Denmark","institution_ids":["https://openalex.org/I83467386"]},{"raw_affiliation_string":"IT-UNIVERSITY OF COPENHAGEN","institution_ids":["https://openalex.org/I83467386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072434673"],"corresponding_institution_ids":["https://openalex.org/I83467386"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3821,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49324324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"113","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9879999756813049,"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/benchmarking","display_name":"Benchmarking","score":0.9344850778579712},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7914546728134155},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.7200394868850708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.688433051109314},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.6116338968276978},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.5160655379295349},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.49622994661331177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49470254778862},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46886923909187317},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.43537023663520813},{"id":"https://openalex.org/keywords/nearest-neighbour","display_name":"Nearest neighbour","score":0.4201255738735199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3657210171222687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35503512620925903},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05965989828109741}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9344850778579712},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7914546728134155},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.7200394868850708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.688433051109314},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.6116338968276978},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.5160655379295349},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49622994661331177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49470254778862},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46886923909187317},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.43537023663520813},{"id":"https://openalex.org/C2983946233","wikidata":"https://www.wikidata.org/wiki/Q4088109","display_name":"Nearest neighbour","level":2,"score":0.4201255738735199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3657210171222687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35503512620925903},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05965989828109741},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1007/978-3-030-32047-8_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-32047-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire/42df4cfd-992e-45fa-89ba-2653904b149b","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/42df4cfd-992e-45fa-89ba-2653904b149b","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Aum\u00fcller, M & Ceccarello, M 2019, The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. in International Conference on Similarity Search and Applications : SISAP 2019: Similarity Search and Applications . Springer, Lecture Notes in Computer Science, vol. 11807. https://doi.org/10.1007/978-3-030-32047-8_11","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:1907.07387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.07387","pdf_url":"https://arxiv.org/pdf/1907.07387","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"raw_type":null},{"id":"mag:2959288310","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1907.07387","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"pmh:oai:pure.atira.dk:publications/42df4cfd-992e-45fa-89ba-2653904b149b","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1907.07387","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Aum\u00fcller, M & Ceccarello, M 2019, The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. in International Conference on Similarity Search and Applications : SISAP 2019: Similarity Search and Applications . Springer, Lecture Notes in Computer Science, vol. 11807. https://doi.org/10.1007/978-3-030-32047-8_11","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:alma.39UBZ_INST:11283208740001241","is_oa":false,"landing_page_url":"https://link.springer.com/chapter/10.1007/978-3-030-32047-8_11","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"Open Research (University of Surrey)","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"},{"id":"doi:10.48550/arxiv.1907.07387","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.07387","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/42df4cfd-992e-45fa-89ba-2653904b149b","is_oa":true,"landing_page_url":"https://pure.itu.dk/portal/da/publications/42df4cfd-992e-45fa-89ba-2653904b149b","pdf_url":null,"source":{"id":"https://openalex.org/S4377196680","display_name":"IT University Of Copenhagen (IT University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83467386","host_organization_name":"IT University of Copenhagen","host_organization_lineage":["https://openalex.org/I83467386"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Aum\u00fcller, M & Ceccarello, M 2019, The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search. in International Conference on Similarity Search and Applications : SISAP 2019: Similarity Search and Applications . Springer, Lecture Notes in Computer Science, vol. 11807. https://doi.org/10.1007/978-3-030-32047-8_11","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3207356259","display_name":null,"funder_award_id":"2007\u20132013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G393177772","display_name":null,"funder_award_id":"FP7 2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1430582609","https://openalex.org/W1614298861","https://openalex.org/W1970647353","https://openalex.org/W2038044292","https://openalex.org/W2071948161","https://openalex.org/W2073031580","https://openalex.org/W2084434464","https://openalex.org/W2124509324","https://openalex.org/W2149684715","https://openalex.org/W2157169955","https://openalex.org/W2250539671","https://openalex.org/W2279057335","https://openalex.org/W2530877529","https://openalex.org/W2532189199","https://openalex.org/W2593864460","https://openalex.org/W2604733604","https://openalex.org/W2750384547","https://openalex.org/W2757662681","https://openalex.org/W2894824251","https://openalex.org/W2895805257","https://openalex.org/W2943942856","https://openalex.org/W2963469388","https://openalex.org/W2977704877","https://openalex.org/W3023058184","https://openalex.org/W6601065604","https://openalex.org/W6682335648"],"related_works":["https://openalex.org/W3164396702","https://openalex.org/W1488844540","https://openalex.org/W3082644980","https://openalex.org/W3037345255","https://openalex.org/W2745964751","https://openalex.org/W3173498609","https://openalex.org/W2741620810","https://openalex.org/W2802112837","https://openalex.org/W2170605888","https://openalex.org/W2783153361","https://openalex.org/W3130280039","https://openalex.org/W2791803660","https://openalex.org/W1985655411","https://openalex.org/W2291103301","https://openalex.org/W2136199174","https://openalex.org/W3210346861","https://openalex.org/W2086504823","https://openalex.org/W2783572376","https://openalex.org/W3035331438","https://openalex.org/W2142385580"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2025-10-10T00:00:00"}
