{"id":"https://openalex.org/W1937855462","doi":"https://doi.org/10.1109/cvpr.2015.7299127","title":"Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval","display_name":"Revisiting kernelized locality-sensitive hashing for improved large-scale image retrieval","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1937855462","doi":"https://doi.org/10.1109/cvpr.2015.7299127","mag":"1937855462"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"preprint","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/A5026222570","display_name":"Ke Jiang","orcid":"https://orcid.org/0009-0005-1171-8282"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Jiang","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University","Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041365728","display_name":"Qichao Que","orcid":"https://orcid.org/0000-0002-2676-1460"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qichao Que","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University","Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049134079","display_name":"Brian Kulis","orcid":"https://orcid.org/0000-0002-1704-3838"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Kulis","raw_affiliation_strings":["Department of Computer Science and Engineering, The Ohio State University","Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Ohio State University","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Dept. of Computer Science and Engineering, The Ohio State University, United States#TAB#","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026222570"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":4.6761,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96574375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4933","last_page":"4941"},"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":0.9815999865531921,"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":0.9782999753952026,"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":0.6978245377540588},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6951214075088501},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6133614182472229},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5511403679847717},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.503175675868988},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4847952425479889},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47968077659606934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4669688045978546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41389793157577515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3811408281326294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3508215546607971},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34006986021995544},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3354932963848114},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2791920304298401},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27105870842933655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23190101981163025},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.1359807848930359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6978245377540588},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6951214075088501},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6133614182472229},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5511403679847717},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.503175675868988},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4847952425479889},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47968077659606934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4669688045978546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41389793157577515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3811408281326294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508215546607971},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34006986021995544},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3354932963848114},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2791920304298401},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27105870842933655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23190101981163025},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.1359807848930359},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7299127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.763.5627","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.763.5627","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1411.4199.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1559242494","https://openalex.org/W1566135517","https://openalex.org/W1987040325","https://openalex.org/W1989902617","https://openalex.org/W1990537115","https://openalex.org/W1992371516","https://openalex.org/W2020672972","https://openalex.org/W2094900960","https://openalex.org/W2102663010","https://openalex.org/W2104208555","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2140095548","https://openalex.org/W2144902422","https://openalex.org/W2151103935","https://openalex.org/W2155100959","https://openalex.org/W2160840682","https://openalex.org/W2162006472","https://openalex.org/W2170942078","https://openalex.org/W2171790913","https://openalex.org/W2751862591","https://openalex.org/W3004219628","https://openalex.org/W4230940751","https://openalex.org/W4300526689","https://openalex.org/W6648560114","https://openalex.org/W6678556256","https://openalex.org/W6681302627","https://openalex.org/W6683673261"],"related_works":["https://openalex.org/W2000601968","https://openalex.org/W2144265691","https://openalex.org/W2132034299","https://openalex.org/W1870428314","https://openalex.org/W3124800526","https://openalex.org/W2100189723","https://openalex.org/W4251536634","https://openalex.org/W2184777945","https://openalex.org/W2088296667","https://openalex.org/W1551533237"],"abstract_inverted_index":{"We":[0,101],"present":[1,70],"a":[2,12],"simple":[3],"but":[4],"powerful":[5],"reinterpretation":[6],"of":[7,44,75,99,123],"kernelized":[8],"locality-sensitive":[9],"hashing":[10],"(KLSH),":[11],"general":[13],"and":[14,53,58,113,127],"popular":[15],"method":[16],"developed":[17],"in":[18,27,48,71],"the":[19,42,45,64,72,80,96,132],"vision":[20],"community":[21],"for":[22,86,94],"performing":[23],"approximate":[24],"nearest-neighbor":[25],"searches":[26],"an":[28,49],"arbitrary":[29],"reproducing":[30],"kernel":[31],"Hilbert":[32],"space":[33],"(RKHS).":[34],"Our":[35],"new":[36],"perspective":[37],"is":[38],"based":[39],"on":[40,105],"viewing":[41],"steps":[43],"KLSH":[46,134],"algorithm":[47],"appropriately":[50],"projected":[51],"space,":[52],"has":[54],"several":[55,106],"key":[56],"theoretical":[57],"practical":[59],"benefits.":[60],"First,":[61],"it":[62,78],"eliminates":[63],"problematic":[65],"conceptual":[66],"difficulties":[67],"that":[68,115],"are":[69],"existing":[73],"motivation":[74],"KLSH.":[76,87,100],"Second,":[77],"yields":[79],"first":[81],"formal":[82],"retrieval":[83,110],"performance":[84,98,122],"bounds":[85],"Third,":[88],"our":[89,116],"analysis":[90,117],"reveals":[91],"two":[92],"techniques":[93],"boosting":[95],"empirical":[97],"evaluate":[102],"these":[103],"extensions":[104],"large-scale":[107],"benchmark":[108],"image":[109],"data":[111],"sets,":[112],"show":[114],"leads":[118],"to":[119],"improved":[120],"recall":[121],"at":[124],"least":[125],"12%,":[126],"sometimes":[128],"much":[129],"higher,":[130],"over":[131],"standard":[133],"method.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
