{"id":"https://openalex.org/W2412709527","doi":"https://doi.org/10.1109/tcyb.2015.2474742","title":"Structure Sensitive Hashing With Adaptive Product Quantization","display_name":"Structure Sensitive Hashing With Adaptive Product Quantization","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2412709527","doi":"https://doi.org/10.1109/tcyb.2015.2474742","mag":"2412709527","pmid":"https://pubmed.ncbi.nlm.nih.gov/26441458"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2015.2474742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2474742","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5024067284","display_name":"Xianglong Liu","orcid":"https://orcid.org/0000-0002-7618-3275"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053487836","display_name":"Bowen Du","orcid":"https://orcid.org/0000-0003-0975-2367"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Du","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015874725","display_name":"Cheng Deng","orcid":"https://orcid.org/0000-0003-2620-3247"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Deng","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347819","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-9659-109X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100310123","display_name":"Bo Lang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Lang","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024067284"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":6.9956,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.98015142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"46","issue":"10","first_page":"2252","last_page":"2264"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9866999983787537,"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":0.9621999859809875,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7391945123672485},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.6514715552330017},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.6008213758468628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5958572626113892},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5736688375473022},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5728436708450317},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5324291586875916},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5307932496070862},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.49712374806404114},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48300087451934814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4567930996417999},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4341084361076355},{"id":"https://openalex.org/keywords/rolling-hash","display_name":"Rolling hash","score":0.424580454826355},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.41713768243789673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15828865766525269}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7391945123672485},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.6514715552330017},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.6008213758468628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958572626113892},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5736688375473022},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5728436708450317},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5324291586875916},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5307932496070862},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.49712374806404114},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48300087451934814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4567930996417999},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4341084361076355},{"id":"https://openalex.org/C108546238","wikidata":"https://www.wikidata.org/wiki/Q4228982","display_name":"Rolling hash","level":5,"score":0.424580454826355},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.41713768243789673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15828865766525269},{"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/tcyb.2015.2474742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2015.2474742","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:26441458","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26441458","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2483372617","display_name":null,"funder_award_id":"K5051302019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5424035820","display_name":null,"funder_award_id":"NCET-12-0917","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"},{"id":"https://openalex.org/G5551914023","display_name":null,"funder_award_id":"61402026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6777872865","display_name":null,"funder_award_id":"61572388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7229961644","display_name":null,"funder_award_id":"51408018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7439462726","display_name":null,"funder_award_id":"61370125","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/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W118147013","https://openalex.org/W177297205","https://openalex.org/W178840006","https://openalex.org/W1566135517","https://openalex.org/W1969241115","https://openalex.org/W1972036246","https://openalex.org/W1972853352","https://openalex.org/W1987040325","https://openalex.org/W1989883299","https://openalex.org/W1989902617","https://openalex.org/W1992371516","https://openalex.org/W2001439237","https://openalex.org/W2002257313","https://openalex.org/W2007972815","https://openalex.org/W2010642153","https://openalex.org/W2012833704","https://openalex.org/W2017615984","https://openalex.org/W2026014384","https://openalex.org/W2029205712","https://openalex.org/W2032909675","https://openalex.org/W2033000863","https://openalex.org/W2040918046","https://openalex.org/W2044195942","https://openalex.org/W2058116810","https://openalex.org/W2060306405","https://openalex.org/W2067766814","https://openalex.org/W2079202281","https://openalex.org/W2084363474","https://openalex.org/W2085168338","https://openalex.org/W2104208555","https://openalex.org/W2111006384","https://openalex.org/W2119939615","https://openalex.org/W2121713321","https://openalex.org/W2122146326","https://openalex.org/W2122196799","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2126458834","https://openalex.org/W2128017662","https://openalex.org/W2131929066","https://openalex.org/W2139172286","https://openalex.org/W2142881874","https://openalex.org/W2147717514","https://openalex.org/W2148554573","https://openalex.org/W2150735108","https://openalex.org/W2151368806","https://openalex.org/W2152926413","https://openalex.org/W2158169729","https://openalex.org/W2162006472","https://openalex.org/W2162670057","https://openalex.org/W2164338181","https://openalex.org/W2166782149","https://openalex.org/W2170037597","https://openalex.org/W2171790913","https://openalex.org/W2251864938","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2296457436","https://openalex.org/W2408177717","https://openalex.org/W2912236665","https://openalex.org/W3118608800","https://openalex.org/W4230940751","https://openalex.org/W6607183442","https://openalex.org/W6648560114","https://openalex.org/W6656977662","https://openalex.org/W6678291700","https://openalex.org/W6678556256","https://openalex.org/W6678658870","https://openalex.org/W6679514681","https://openalex.org/W6681077227","https://openalex.org/W6682533845","https://openalex.org/W6683379960","https://openalex.org/W6684181414","https://openalex.org/W6685012337","https://openalex.org/W6691474080","https://openalex.org/W6696891034","https://openalex.org/W6697214482","https://openalex.org/W6714263872","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W2964752363","https://openalex.org/W2000284985","https://openalex.org/W3030563642","https://openalex.org/W4286981687","https://openalex.org/W2783286101","https://openalex.org/W2169139294","https://openalex.org/W2985440808","https://openalex.org/W3158263601","https://openalex.org/W4289531427"],"abstract_inverted_index":{"Hashing":[0],"has":[1],"been":[2],"proved":[3],"as":[4],"an":[5,132],"attractive":[6],"solution":[7],"to":[8,14,101,117,139],"approximate":[9],"nearest":[10],"neighbor":[11,184],"search,":[12],"owing":[13],"its":[15],"theoretical":[16],"guarantee":[17],"and":[18,31,83,95,111,150,167,182],"computational":[19],"efficiency.":[20],"Though":[21],"most":[22],"of":[23,47,128,143,180],"prior":[24],"hashing":[25,73,176],"algorithms":[26],"can":[27],"achieve":[28],"low":[29],"memory":[30],"computation":[32],"consumption":[33],"by":[34],"pursuing":[35],"compact":[36],"hash":[37,50,109,126,156],"codes,":[38],"however,":[39],"they":[40],"are":[41],"still":[42],"far":[43],"beyond":[44],"the":[45,53,92,104,120,140,144,147,153],"capability":[46],"learning":[48],"discriminative":[49],"functions":[51],"from":[52],"data":[54],"with":[55],"complex":[56],"inherent":[57],"structure":[58,71],"among":[59,155],"them.":[60,124],"To":[61],"address":[62],"this":[63,66],"issue,":[64],"in":[65,178],"paper,":[67],"we":[68],"propose":[69],"a":[70,129],"sensitive":[72],"based":[74],"on":[75,160],"cluster":[76,105],"prototypes,":[77],"which":[78],"explicitly":[79],"exploits":[80],"both":[81],"global":[82],"local":[84],"structures.":[85],"An":[86],"alternating":[87],"optimization":[88],"algorithm,":[89],"respectively,":[90],"minimizing":[91],"quantization":[93,142],"loss":[94],"spectral":[96],"embedding":[97],"loss,":[98],"is":[99,136],"presented":[100],"simultaneously":[102],"discover":[103],"prototypes":[106],"for":[107],"each":[108],"function,":[110],"optimally":[112],"assign":[113],"unique":[114],"binary":[115],"codes":[116,127],"them":[118],"satisfying":[119],"affinity":[121],"alignment":[122],"between":[123],"For":[125],"desired":[130],"length,":[131],"adaptive":[133],"bit":[134],"assignment":[135],"further":[137],"appended":[138],"product":[141],"subspaces,":[145],"approximating":[146],"Hamming":[148],"distances":[149],"meanwhile":[151],"balancing":[152],"variance":[154],"functions.":[157],"Experimental":[158],"results":[159],"four":[161],"large-scale":[162],"benchmarks":[163],"CIFAR-10,":[164],"NUS-WIDE,":[165],"SIFT1M,":[166],"GIST1M":[168],"demonstrate":[169],"that":[170],"our":[171],"approach":[172],"significantly":[173],"outperforms":[174],"state-of-the-art":[175],"methods":[177],"terms":[179],"semantic":[181],"metric":[183],"search.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}