{"id":"https://openalex.org/W2756077905","doi":"https://doi.org/10.1109/tkde.2017.2752156","title":"Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search","display_name":"Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search","publication_year":2017,"publication_date":"2017-09-14","ids":{"openalex":"https://openalex.org/W2756077905","doi":"https://doi.org/10.1109/tkde.2017.2752156","mag":"2756077905"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2017.2752156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2752156","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5013817745","display_name":"Qiang Huang","orcid":"https://orcid.org/0000-0003-1120-4685"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Huang","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100840272","display_name":"Jianlin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlin Feng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102726584","display_name":"Qiong Fang","orcid":"https://orcid.org/0000-0001-9418-6253"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Fang","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067034635","display_name":"Wilfred Ng","orcid":"https://orcid.org/0000-0001-6639-0521"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wilfred Ng","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013817745"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.72941541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"12","first_page":"2772","last_page":"2785"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9672999978065491,"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/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6726952791213989},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.640717089176178},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5969913005828857},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.551680326461792},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5180718898773193},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5018143653869629},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4402194321155548},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.4324093163013458},{"id":"https://openalex.org/keywords/auxiliary-memory","display_name":"Auxiliary memory","score":0.42258375883102417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3682905435562134},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34355831146240234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12181681394577026},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11012578010559082}],"concepts":[{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6726952791213989},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.640717089176178},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5969913005828857},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.551680326461792},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5180718898773193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5018143653869629},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4402194321155548},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.4324093163013458},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.42258375883102417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3682905435562134},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34355831146240234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12181681394577026},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11012578010559082},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2017.2752156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2017.2752156","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-87808","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-87808","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4584014430","display_name":null,"funder_award_id":"61602186","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7471918978","display_name":null,"funder_award_id":"61772563","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"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W188182752","https://openalex.org/W1541459201","https://openalex.org/W1594625131","https://openalex.org/W1990312251","https://openalex.org/W2007636657","https://openalex.org/W2027673602","https://openalex.org/W2031746868","https://openalex.org/W2047182622","https://openalex.org/W2097309979","https://openalex.org/W2100562604","https://openalex.org/W2103012681","https://openalex.org/W2107946060","https://openalex.org/W2108718991","https://openalex.org/W2144265691","https://openalex.org/W2145065594","https://openalex.org/W2147717514","https://openalex.org/W2149684715","https://openalex.org/W2155502235","https://openalex.org/W2155893006","https://openalex.org/W2158944832","https://openalex.org/W2162006472","https://openalex.org/W2162315106","https://openalex.org/W2190662813","https://openalex.org/W2294518132","https://openalex.org/W2493140761","https://openalex.org/W2523733566","https://openalex.org/W2615555727","https://openalex.org/W2979473749","https://openalex.org/W3098338622","https://openalex.org/W4233413206","https://openalex.org/W4251391716","https://openalex.org/W4301584875","https://openalex.org/W6632397832","https://openalex.org/W6657336336","https://openalex.org/W6658114682","https://openalex.org/W6674878640","https://openalex.org/W6682335648","https://openalex.org/W6682951966"],"related_works":["https://openalex.org/W2135779989","https://openalex.org/W144856782","https://openalex.org/W2950817225","https://openalex.org/W2144265691","https://openalex.org/W2754607325","https://openalex.org/W2080135560","https://openalex.org/W2975588143","https://openalex.org/W2010970209","https://openalex.org/W2752074276","https://openalex.org/W2120031510"],"abstract_inverted_index":{"The":[0,33],"<inline-formula><tex-math":[1,7,23,155,204],"notation=\"LaTeX\">$c$</tex-math></inline-formula>":[2,8,78,121],"-Approximate":[3],"Furthest":[4],"Neighbor":[5],"(":[6],"-AFN)":[9],"search":[10,27,123],"is":[11,72,91],"a":[12,61,84,92,109,134,150,159],"fundamental":[13],"problem":[14],"in":[15,141],"many":[16],"applications.":[17],"However,":[18],"existing":[19],"hashing":[20,179],"schemes":[21,180,207],"for":[22,30,36,52,75,117,188],"notation=\"LaTeX\">$c$":[24],"</tex-math></inline-formula>":[25],"-AFN":[26,79,122],"are":[28,49],"designed":[29,74],"internal":[31],"memory.":[32,126,190],"old":[34],"techniques":[35],"external":[37,125,189],"memory,":[38],"such":[39],"as":[40],"furthest":[41],"point":[42],"Voronoi":[43],"diagram":[44],"and":[45,182,202],"the":[46,53,65,102,166,172],"tree-based":[47],"methods,":[48],"only":[50],"suitable":[51],"low-dimensional":[54],"case.":[55],"In":[56,139,171],"this":[57],"paper,":[58],"we":[59,82,107,148,174],"introduce":[60,108],"novel":[62,110],"concept":[63],"of":[64,168],"Reverse":[66,111],"Locality-Sensitive":[67],"Hashing":[68],"(RLSH)":[69],"family":[70],"which":[71,90,157,184],"directly":[73],"<inline-formula>":[76,119],"<tex-math":[77,120],"search.":[80],"Accordingly,":[81],"propose":[83,149],"new":[85],"reverse":[86,103],"query-aware":[87,97,104],"LSH":[88,105,113],"function,":[89],"random":[93],"projection":[94],"coupled":[95],"with":[96,176],"interval":[98],"identification.":[99],"Based":[100],"on":[101,136,193],"functions,":[106],"Query-Aware":[112],"scheme":[114],"named":[115,153],"RQALSH":[116,132,154,201,203],"high-dimensional":[118],"over":[124],"Our":[127],"theoretical":[128],"studies":[129],"show":[130,197],"that":[131,198],"enjoys":[133],"guarantee":[135],"query":[137],"quality.":[138],"addition,":[140],"order":[142],"to":[143,163],"further":[144],"speed":[145],"up":[146],"RQALSH,":[147],"heuristic":[151],"variant":[152],"notation=\"LaTeX\">$^*$</tex-math></inline-formula>":[156],"applies":[158],"data-dependent":[160],"objects":[161],"selection":[162],"largely":[164],"reduce":[165],"number":[167],"data":[169],"objects.":[170],"experiment,":[173],"compare":[175],"two":[177,211],"state-of-the-art":[178],"QDAFN":[181],"DrusillaSelect":[183],"have":[185],"been":[186],"adapted":[187],"Extensive":[191],"experiments":[192],"four":[194],"real":[195],"datasets":[196],"our":[199],"proposed":[200],"notation=\"LaTeX\">":[205],"$^*$</tex-math></inline-formula>":[206],"significantly":[208],"outperform":[209],"these":[210],"methods.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}