{"id":"https://openalex.org/W2441967103","doi":"https://doi.org/10.1145/2882903.2882930","title":"LazyLSH","display_name":"LazyLSH","publication_year":2016,"publication_date":"2016-06-16","ids":{"openalex":"https://openalex.org/W2441967103","doi":"https://doi.org/10.1145/2882903.2882930","mag":"2441967103"},"language":"en","primary_location":{"id":"doi:10.1145/2882903.2882930","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2882930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","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/A5101677059","display_name":"Yuxin Zheng","orcid":"https://orcid.org/0000-0003-4617-5204"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yuxin Zheng","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103063161","display_name":"Qi Guo","orcid":"https://orcid.org/0000-0003-2530-5874"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qi Guo","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023925931","display_name":"Anthony K. H. Tung","orcid":"https://orcid.org/0000-0002-5125-855X"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anthony K.H. Tung","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064646829","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-1866-9197"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101677059"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":3.6741,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95586286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2023","last_page":"2037"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9890000224113464,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7603480815887451},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.7111982703208923},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6698804497718811},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5913598537445068},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5861624479293823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5392966866493225},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5072855353355408},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.471540242433548},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4622229337692261},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45574450492858887},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.41652730107307434},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33003076910972595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27532148361206055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21485593914985657},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.144770085811615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7603480815887451},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.7111982703208923},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6698804497718811},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5913598537445068},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5861624479293823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5392966866493225},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5072855353355408},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.471540242433548},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4622229337692261},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45574450492858887},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.41652730107307434},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33003076910972595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27532148361206055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21485593914985657},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.144770085811615},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1145/2882903.2882930","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2882930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W185144071","https://openalex.org/W642889137","https://openalex.org/W1497953515","https://openalex.org/W1556531089","https://openalex.org/W1595303882","https://openalex.org/W1627400044","https://openalex.org/W1672197616","https://openalex.org/W1973193325","https://openalex.org/W1986676168","https://openalex.org/W1990334093","https://openalex.org/W2006057946","https://openalex.org/W2011171080","https://openalex.org/W2012833704","https://openalex.org/W2017814585","https://openalex.org/W2020308406","https://openalex.org/W2024665095","https://openalex.org/W2037046020","https://openalex.org/W2038276547","https://openalex.org/W2042281163","https://openalex.org/W2046144220","https://openalex.org/W2052684427","https://openalex.org/W2064153048","https://openalex.org/W2071866949","https://openalex.org/W2072699031","https://openalex.org/W2084360845","https://openalex.org/W2089407614","https://openalex.org/W2093813380","https://openalex.org/W2100247763","https://openalex.org/W2107427524","https://openalex.org/W2110764733","https://openalex.org/W2112796928","https://openalex.org/W2117501368","https://openalex.org/W2118269922","https://openalex.org/W2118781693","https://openalex.org/W2122056984","https://openalex.org/W2122111042","https://openalex.org/W2128405968","https://openalex.org/W2131620262","https://openalex.org/W2132069633","https://openalex.org/W2144265691","https://openalex.org/W2146801187","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2151135734","https://openalex.org/W2152402969","https://openalex.org/W2152565070","https://openalex.org/W2156855109","https://openalex.org/W2162006472","https://openalex.org/W2164456230","https://openalex.org/W2165533158","https://openalex.org/W2166606682","https://openalex.org/W2168532736","https://openalex.org/W2170037597","https://openalex.org/W3023628220","https://openalex.org/W6647676880","https://openalex.org/W6674927705","https://openalex.org/W6679274366","https://openalex.org/W6679663036","https://openalex.org/W6682678078"],"related_works":["https://openalex.org/W2148008870","https://openalex.org/W2381195555","https://openalex.org/W3094967175","https://openalex.org/W2368606575","https://openalex.org/W2144265691","https://openalex.org/W2166822184","https://openalex.org/W3096071782","https://openalex.org/W2902799860","https://openalex.org/W4289129280","https://openalex.org/W2889587792"],"abstract_inverted_index":{"Due":[0],"to":[1,11,127,142],"the":[2,13,45,56,74,89,144,152],"\"curse":[3],"of":[4,88],"dimensionality\"":[5],"problem,":[6],"it":[7],"is":[8],"very":[9],"expensive":[10],"process":[12],"nearest":[14,110],"neighbor":[15,111],"(NN)":[16],"query":[17,134],"in":[18,53,146],"high-dimensional":[19],"spaces;":[20],"and":[21,37,47,77,83],"hence,":[22],"approximate":[23,109,165],"approaches,":[24],"such":[25],"as":[26,51],"Locality-Sensitive":[27],"Hashing":[28],"(LSH),":[29],"are":[30],"widely":[31],"used":[32],"for":[33,80,113,132,164],"their":[34],"theoretical":[35,118],"guarantees":[36],"empirical":[38],"performance.":[39],"Current":[40],"LSH-based":[41],"approaches":[42,124],"target":[43],"at":[44],"L1":[46,76],"L2":[48,78],"spaces,":[49,149],"while":[50],"shown":[52],"previous":[54,122],"work,":[55],"fractional":[57,95,169],"distance":[58,96,170],"metrics":[59,61,79,97,116],"(Lp":[60],"with":[62,117],"0":[63],"<":[64,66],"p":[65],"1)":[67],"can":[68,92],"provide":[69],"more":[70,161],"insightful":[71],"results":[72,163],"than":[73],"usual":[75],"data":[81],"mining":[82],"multimedia":[84],"applications.":[85],"However,":[86],"none":[87],"existing":[90],"work":[91],"support":[93,143],"multiple":[94,114,147],"using":[98],"one":[99,129],"index.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104],"propose":[105],"LazyLSH":[106,136,159],"that":[107,158],"answers":[108],"queries":[112],"Lp":[115,148],"guarantees.":[119],"Different":[120],"from":[121],"LSH":[123],"which":[125],"need":[126],"build":[128],"dedicated":[130],"index":[131,141],"every":[133],"space,":[135],"uses":[137],"a":[138],"single":[139],"base":[140],"computations":[145],"significantly":[150],"reducing":[151],"maintenance":[153],"overhead.":[154],"Extensive":[155],"experiments":[156],"show":[157],"provides":[160],"accurate":[162],"kNN":[166],"search":[167],"under":[168],"metrics.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
