{"id":"https://openalex.org/W3007299504","doi":"https://doi.org/10.14778/3377369.3377374","title":"PM-LSH","display_name":"PM-LSH","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007299504","doi":"https://doi.org/10.14778/3377369.3377374","mag":"3007299504"},"language":"en","primary_location":{"id":"doi:10.14778/3377369.3377374","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3377369.3377374","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/ws/files/391642966/p643_zheng_1_.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031485610","display_name":"Bolong Zheng","orcid":"https://orcid.org/0000-0001-8639-4570"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bolong Zheng","raw_affiliation_strings":["Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069448247","display_name":"Xi Zhao","orcid":"https://orcid.org/0000-0002-3240-8225"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhao","raw_affiliation_strings":["Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008729556","display_name":"Lianggui Weng","orcid":"https://orcid.org/0009-0005-8274-7881"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianggui Weng","raw_affiliation_strings":["Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051219382","display_name":"Quoc Viet Hung Nguyen","orcid":"https://orcid.org/0000-0002-9687-1315"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nguyen Quoc Viet Hung","raw_affiliation_strings":["Griffith University"],"affiliations":[{"raw_affiliation_string":"Griffith University","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338895","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0001-7948-4236"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029380368","display_name":"Christian S. Jensen","orcid":"https://orcid.org/0000-0002-9697-7670"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christian S. Jensen","raw_affiliation_strings":["Aalborg University"],"affiliations":[{"raw_affiliation_string":"Aalborg University","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031485610"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":4.8092,"has_fulltext":true,"cited_by_count":85,"citation_normalized_percentile":{"value":0.96092636,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"13","issue":"5","first_page":"643","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9945999979972839,"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/T11106","display_name":"Data Management and Algorithms","score":0.9781000018119812,"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/environmental-science","display_name":"Environmental science","score":0.3382463753223419},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3258365988731384}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3382463753223419},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3258365988731384}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.14778/3377369.3377374","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3377369.3377374","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/806a71ff-7287-4843-aab1-e6e670929856","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85089179174&partnerID=8YFLogxK","pdf_url":"https://vbn.aau.dk/ws/files/391642966/p643_zheng_1_.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"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":"Zheng, B, Xi, Z, Weng, L, Hung, N Q V, Liu, H & Jensen, C S 2020, 'PM-LSH : A fast and accurate LSH framework for high-dimensional approximate NN search', Proceedings of the VLDB Endowment, vol. 13, no. 5, pp. 643-655. https://doi.org/10.14778/3377369.3377374","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire/806a71ff-7287-4843-aab1-e6e670929856","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/806a71ff-7287-4843-aab1-e6e670929856","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"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":"Zheng, B, Xi, Z, Weng, L, Hung, N Q V, Liu, H & Jensen, C S 2020, 'PM-LSH : A fast and accurate LSH framework for high-dimensional approximate NN search', Proceedings of the VLDB Endowment, vol. 13, no. 5, pp. 643-655. https://doi.org/10.14778/3377369.3377374","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/395050","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/395050","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/806a71ff-7287-4843-aab1-e6e670929856","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85089179174&partnerID=8YFLogxK","pdf_url":"https://vbn.aau.dk/ws/files/391642966/p643_zheng_1_.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"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":"Zheng, B, Xi, Z, Weng, L, Hung, N Q V, Liu, H & Jensen, C S 2020, 'PM-LSH : A fast and accurate LSH framework for high-dimensional approximate NN search', Proceedings of the VLDB Endowment, vol. 13, no. 5, pp. 643-655. https://doi.org/10.14778/3377369.3377374","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2246289853","display_name":null,"funder_award_id":"2019kfyXJJS091","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2995298657","display_name":null,"funder_award_id":"2019kfyXJJ","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7674961","display_name":null,"funder_award_id":"61902134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7844923478","display_name":null,"funder_award_id":"2019kfyXKJC021","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007299504.pdf","grobid_xml":"https://content.openalex.org/works/W3007299504.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W642889137","https://openalex.org/W1487438942","https://openalex.org/W1502916507","https://openalex.org/W1561313149","https://openalex.org/W1968781463","https://openalex.org/W1970647353","https://openalex.org/W1974647172","https://openalex.org/W1975478325","https://openalex.org/W2021283827","https://openalex.org/W2055839530","https://openalex.org/W2071572981","https://openalex.org/W2123427850","https://openalex.org/W2125671345","https://openalex.org/W2144265691","https://openalex.org/W2147717514","https://openalex.org/W2148781362","https://openalex.org/W2151135734","https://openalex.org/W2155502235","https://openalex.org/W2156855109","https://openalex.org/W2162006472","https://openalex.org/W2166741129","https://openalex.org/W2171790913","https://openalex.org/W2294518132","https://openalex.org/W2411707397","https://openalex.org/W2425458534","https://openalex.org/W2441967103","https://openalex.org/W2612619489","https://openalex.org/W2752074276","https://openalex.org/W2798529224","https://openalex.org/W2963265099","https://openalex.org/W2964084429"],"related_works":["https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2245170124","https://openalex.org/W2076393078","https://openalex.org/W3186982001","https://openalex.org/W1984402782","https://openalex.org/W2137941439","https://openalex.org/W2004200960","https://openalex.org/W1999891779","https://openalex.org/W2029513011"],"abstract_inverted_index":{"Nearest":[0],"neighbor":[1],"(NN)":[2],"search":[3],"in":[4,38,90],"high-dimensional":[5,121],"spaces":[6],"is":[7,28,182],"inherently":[8],"computationally":[9],"expensive":[10],"due":[11],"to":[12,21,30,69,85,112,131,143,164,190],"the":[13,57,93,114,133,162,166],"curse":[14],"of":[15,95,161,168,184],"dimensionality.":[16],"As":[17],"a":[18,102,126,139],"well-known":[19],"solution":[20],"approximate":[22],"NN":[23,33],"search,":[24],"locality-sensitive":[25],"hashing":[26],"(LSH)":[27],"able":[29],"answer":[31],"c-approximate":[32],"(":[34],"c":[35,115,170],"-ANN)":[36],"queries":[37],"sublinear":[39],"time":[40],"with":[41,175,188],"constant":[42],"probability.":[43],"Existing":[44],"LSH":[45,106],"methods":[46],"focus":[47],"mainly":[48],"on":[49,118,159],"building":[50],"hash":[51],"bucket":[52],"based":[53],"indexing":[54],"such":[55],"that":[56,110,180],"candidate":[58,75],"points":[59],"can":[60],"be":[61],"retrieved":[62],"quickly.":[63],"However,":[64],"existing":[65,186],"coarse-grained":[66],"structures":[67],"fail":[68],"offer":[70,178],"accurate":[71,105,145],"distance":[72,146],"estimation":[73,147],"for":[74],"points,":[76],"which":[77],"translates":[78],"into":[79],"additional":[80],"computational":[81],"overhead":[82],"when":[83],"having":[84],"examine":[86],"unnecessary":[87],"points.":[88,135],"This":[89],"turn":[91],"reduces":[92],"performance":[94,167],"query":[96,117],"processing.":[97],"In":[98],"contrast,":[99],"we":[100,124,137,154],"propose":[101,155],"fast":[103],"and":[104,148,193],"framework,":[107],"called":[108],"PM-LSH,":[109],"aims":[111],"compute":[113],"-ANN":[116,171],"large-":[119],"scale,":[120],"datasets.":[122],"First,":[123],"adopt":[125],"simple":[127],"yet":[128],"effective":[129],"PM-tree":[130,163],"index":[132],"data":[134,177],"Second,":[136],"develop":[138],"tunable":[140],"confidence":[141],"interval":[142],"achieve":[144],"guarantee":[149],"high":[150],"result":[151],"quality.":[152],"Third,":[153],"an":[156],"efficient":[157],"algorithm":[158],"top":[160],"improve":[165],"computing":[169],"queries.":[172],"Extensive":[173],"experiments":[174],"real-world":[176],"evidence":[179],"PM-LSH":[181],"capable":[183],"outperforming":[185],"proposals":[187],"respect":[189],"both":[191],"efficiency":[192],"accuracy.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2020-03-06T00:00:00"}
