{"id":"https://openalex.org/W2065169802","doi":"https://doi.org/10.1109/iscslp.2012.6423463","title":"Boundary-expanding locality sensitive hashing","display_name":"Boundary-expanding locality sensitive hashing","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2065169802","doi":"https://doi.org/10.1109/iscslp.2012.6423463","mag":"2065169802"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2012.6423463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2012.6423463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Symposium on Chinese Spoken Language Processing","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/A5025187681","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9392-475X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013018586","display_name":"Zhiyuan Guo","orcid":"https://orcid.org/0000-0001-9557-9171"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Guo","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063400527","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-9651-4473"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445470","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0001-9045-1339"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025187681"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58116297,"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":"358","last_page":"362"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9871000051498413,"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/T11478","display_name":"Caching and Content Delivery","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/double-hashing","display_name":"Double hashing","score":0.8194237947463989},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7846375107765198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231059670448303},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.7205159664154053},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7092441320419312},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.6620662808418274},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.6491315364837646},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6219629645347595},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48756688833236694},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.4702307879924774},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4469720423221588},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43378281593322754},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43201354146003723},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.42672890424728394},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.42461538314819336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23785486817359924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.16887325048446655}],"concepts":[{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.8194237947463989},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7846375107765198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231059670448303},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.7205159664154053},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7092441320419312},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.6620662808418274},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.6491315364837646},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6219629645347595},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48756688833236694},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.4702307879924774},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4469720423221588},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43378281593322754},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43201354146003723},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.42672890424728394},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.42461538314819336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23785486817359924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.16887325048446655},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2012.6423463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2012.6423463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Symposium on Chinese Spoken Language Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2038276547","https://openalex.org/W2059139185","https://openalex.org/W2104208555","https://openalex.org/W2129345382","https://openalex.org/W2144265691","https://openalex.org/W2145065594","https://openalex.org/W2147717514","https://openalex.org/W2155751921","https://openalex.org/W2160831612","https://openalex.org/W2162006472"],"related_works":["https://openalex.org/W2184777945","https://openalex.org/W1870428314","https://openalex.org/W2100189723","https://openalex.org/W2000284985","https://openalex.org/W2293015666","https://openalex.org/W2253231004","https://openalex.org/W2158169729","https://openalex.org/W1998749283","https://openalex.org/W1554555624","https://openalex.org/W2962718115"],"abstract_inverted_index":{"Locality":[0],"sensitive":[1],"hashing":[2],"(LSH)":[3],"has":[4],"been":[5],"introduced":[6],"as":[7],"an":[8],"indexing":[9],"structure":[10],"for":[11],"fast":[12],"large-scale":[13],"data":[14],"retrieval.":[15],"A":[16],"significant":[17],"drawback":[18],"of":[19,27,32,54,85,97],"this":[20,38],"technique":[21],"is":[22,57],"that":[23,60],"a":[24,43,121,134],"large":[25],"number":[26],"hash":[28,33,72,109,113],"functions":[29],"require":[30],"lots":[31],"computation":[34,114],"time.":[35],"To":[36,99,125],"resolve":[37],"issue,":[39],"the":[40,52,82,86,89,94,101,127,130],"paper":[41,131],"presents":[42,133],"new":[44],"index":[45],"construction":[46],"algorithm":[47,76],"called":[48],"boundary-expanding":[49,105],"LSH,":[50],"where":[51],"boundary":[53,87],"each":[55,61,71],"bucket":[56],"expanded":[58],"so":[59,116],"point":[62],"may":[63],"be":[64],"mapped":[65],"to":[66,81],"multiple":[67],"adjacent":[68],"buckets":[69],"in":[70],"table.":[73],"The":[74],"proposed":[75],"can":[77,118],"map":[78],"points":[79],"near":[80],"two":[83,141],"sides":[84],"into":[88],"same":[90,102],"bucket,":[91],"which":[92],"increases":[93],"collision":[95],"probability":[96],"neighbors.":[98],"achieve":[100],"search":[103],"accuracy,":[104],"LSH":[106],"needs":[107],"fewer":[108],"tables":[110],"and":[111],"less":[112],"time,":[115],"it":[117],"provide":[119],"us":[120],"higher":[122],"acceleration":[123],"factor.":[124],"obtain":[126],"best":[128],"performance,":[129],"also":[132],"parameter":[135],"optimization":[136],"method.":[137],"Experiments":[138],"conducted":[139],"on":[140],"audio":[142],"databases":[143],"show":[144],"its":[145],"efficiency.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
