{"id":"https://openalex.org/W4399794670","doi":"https://doi.org/10.14778/3665844.3665854","title":"DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search","display_name":"DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4399794670","doi":"https://doi.org/10.14778/3665844.3665854"},"language":"en","primary_location":{"id":"doi:10.14778/3665844.3665854","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3665844.3665854","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2406.10938","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111214623","display_name":"Jiuqi Wei","orcid":"https://orcid.org/0000-0001-7300-4246"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiuqi Wei","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114075399","display_name":"Botao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Botao Peng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113616307","display_name":"X. Lee","orcid":"https://orcid.org/0009-0000-9602-0572"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Lee","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111968995","display_name":"Themis Palpanas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Themis Palpanas","raw_affiliation_strings":["LIPADE, Universit\u00e9 Paris Cit\u00e9"],"affiliations":[{"raw_affiliation_string":"LIPADE, Universit\u00e9 Paris Cit\u00e9","institution_ids":["https://openalex.org/I4210091437","https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111214623"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":4.4033,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95524738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"17","issue":"9","first_page":"2241","last_page":"2254"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9959999918937683,"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/T11106","display_name":"Data Management and Algorithms","score":0.9940000176429749,"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/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.9158172607421875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7389631867408752},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7146371603012085},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7062652111053467},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5334641337394714},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5187166333198547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4963870644569397},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.48485836386680603},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.45715516805648804},{"id":"https://openalex.org/keywords/k-d-tree","display_name":"k-d tree","score":0.41592878103256226},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41184550523757935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3278355598449707},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.31594762206077576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19605466723442078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15468639135360718},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.08584392070770264}],"concepts":[{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.9158172607421875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7389631867408752},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7146371603012085},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7062652111053467},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5334641337394714},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5187166333198547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4963870644569397},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.48485836386680603},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.45715516805648804},{"id":"https://openalex.org/C33721204","wikidata":"https://www.wikidata.org/wiki/Q309949","display_name":"k-d tree","level":3,"score":0.41592878103256226},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41184550523757935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3278355598449707},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.31594762206077576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19605466723442078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15468639135360718},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.08584392070770264},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/3665844.3665854","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3665844.3665854","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:arXiv.org:2406.10938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.10938","pdf_url":"https://arxiv.org/pdf/2406.10938","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":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2406.10938","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2406.10938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.10938","pdf_url":"https://arxiv.org/pdf/2406.10938","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399794670.pdf","grobid_xml":"https://content.openalex.org/works/W4399794670.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W136016496","https://openalex.org/W185144071","https://openalex.org/W1502916507","https://openalex.org/W1541459201","https://openalex.org/W1583837637","https://openalex.org/W1592986652","https://openalex.org/W1924304903","https://openalex.org/W2058292646","https://openalex.org/W2066796814","https://openalex.org/W2097921974","https://openalex.org/W2137565219","https://openalex.org/W2294518132","https://openalex.org/W2340222647","https://openalex.org/W2513211580","https://openalex.org/W2727289913","https://openalex.org/W2790634852","https://openalex.org/W2896497283","https://openalex.org/W2905261310","https://openalex.org/W2911708124","https://openalex.org/W2914059076","https://openalex.org/W2914343162","https://openalex.org/W2916456461","https://openalex.org/W2963265099","https://openalex.org/W2963284996","https://openalex.org/W2963469388","https://openalex.org/W2998655947","https://openalex.org/W3007299504","https://openalex.org/W3007953154","https://openalex.org/W3037818944","https://openalex.org/W3081749234","https://openalex.org/W3089996945","https://openalex.org/W3128793550","https://openalex.org/W3165728814","https://openalex.org/W3173240748","https://openalex.org/W3196481040","https://openalex.org/W4205637966","https://openalex.org/W4239110337","https://openalex.org/W4243547443","https://openalex.org/W4247028386","https://openalex.org/W4254776357","https://openalex.org/W4292760868","https://openalex.org/W4294904100","https://openalex.org/W4297119521","https://openalex.org/W4300354056","https://openalex.org/W4301461621","https://openalex.org/W4318348988","https://openalex.org/W4323343828","https://openalex.org/W4366492471","https://openalex.org/W4367016628","https://openalex.org/W4380433185","https://openalex.org/W4381610063","https://openalex.org/W6629956336","https://openalex.org/W6797525701"],"related_works":["https://openalex.org/W2166822184","https://openalex.org/W2754607325","https://openalex.org/W1558159560","https://openalex.org/W3096071782","https://openalex.org/W2902799860","https://openalex.org/W4289129280","https://openalex.org/W2901290148","https://openalex.org/W2170605888","https://openalex.org/W2080135560","https://openalex.org/W2145759090"],"abstract_inverted_index":{"Locality-sensitive":[0],"hashing":[1],"(LSH)":[2],"is":[3,82],"a":[4,124,132],"well-known":[5],"solution":[6],"for":[7],"approximate":[8],"nearest":[9],"neighbor":[10],"(ANN)":[11],"search":[12],"in":[13,140,204,210],"high-dimensional":[14],"spaces":[15],"due":[16],"to":[17,49,64,76,105,145,201],"its":[18],"robust":[19],"theoretical":[20,160],"guarantee":[21],"on":[22,30,116,120,168,173,186],"query":[23,38,43,71,134,157,169,194,211],"accuracy.":[24,158,170,190],"Traditional":[25],"LSH-based":[26,184,216],"methods":[27,185],"mainly":[28],"focus":[29],"improving":[31,50,155],"the":[32,37,51,54,79,88,107,147,156,177,182,214],"efficiency":[33,52,109,188],"and":[34,68,84,110,189,207],"accuracy":[35,195],"of":[36,53,149,179],"phase":[39],"by":[40],"designing":[41],"different":[42],"strategies,":[44],"but":[45],"pay":[46],"little":[47],"attention":[48],"indexing":[55,108,205],"phase.":[56],"They":[57],"typically":[58],"fine-tune":[59],"existing":[60],"data-oriented":[61],"partitioning":[62],"trees":[63],"index":[65,143],"data":[66],"points":[67],"support":[69,111],"their":[70,74],"strategies.":[72],"However,":[73],"strategy":[75],"directly":[77],"partition":[78],"multi-dimensional":[80],"space":[81,89],"time-consuming,":[83],"performance":[85],"degrades":[86],"as":[87],"dimensionality":[90],"increases.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95,122],"design":[96],"an":[97],"encoding-based":[98],"tree":[99],"called":[100,128],"Dynamic":[101],"Encoding":[102],"Tree":[103],"(DE-Tree)":[104],"improve":[106],"efficient":[112],"range":[113,138],"queries":[114,139],"based":[115],"Euclidean":[117],"distance.":[118],"Based":[119],"DE-Tree,":[121],"propose":[123],"novel":[125,133],"LSH":[126],"scheme":[127],"DET-LSH.":[129],"DET-LSH":[130,164,180,198],"adopts":[131],"strategy,":[135],"which":[136],"performs":[137],"multiple":[141],"independent":[142],"DE-Trees":[144],"reduce":[146],"probability":[148],"missing":[150],"exact":[151],"NN":[152],"points,":[153],"thereby":[154],"Our":[159],"studies":[161],"show":[162],"that":[163],"enjoys":[165],"probabilistic":[166],"guarantees":[167],"Extensive":[171],"experiments":[172],"real-world":[174],"datasets":[175],"demonstrate":[176],"superiority":[178],"over":[181,213],"state-of-the-art":[183,215],"both":[187],"While":[191],"achieving":[192],"better":[193],"than":[196],"competitors,":[197],"achieves":[199],"up":[200],"6x":[202],"speedup":[203,209],"time":[206,212],"2x":[208],"methods.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2024-06-19T00:00:00"}