{"id":"https://openalex.org/W2039208785","doi":"https://doi.org/10.1145/2393347.2396337","title":"Compact kernel hashing with multiple features","display_name":"Compact kernel hashing with multiple features","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2039208785","doi":"https://doi.org/10.1145/2393347.2396337","mag":"2039208785"},"language":"en","primary_location":{"id":"doi:10.1145/2393347.2396337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2396337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024067284","display_name":"Xianglong Liu","orcid":"https://orcid.org/0000-0001-8425-4195"},"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":"Xianglong Liu","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101252047","display_name":"Junfeng He","orcid":"https://orcid.org/0009-0004-5465-5659"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junfeng He","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042554","display_name":"Di Liu","orcid":"https://orcid.org/0000-0002-4365-2768"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Liu","raw_affiliation_strings":["China Academy of Telecommunication Research of MIIT, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Telecommunication Research of MIIT, Beijing, China","institution_ids":["https://openalex.org/I890469752"]}]},{"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":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0606,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.95737409,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"881","last_page":"884"},"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":0.9939000010490417,"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":0.9747999906539917,"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":0.7056550979614258},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.690220832824707},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6523443460464478},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6132358908653259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.600092887878418},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5849624872207642},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5252898931503296},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5088301301002502},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4975018799304962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4820155203342438},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48127835988998413},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.4376477003097534},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.41912198066711426},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.37804171442985535},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37383586168289185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3711853623390198},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.36132341623306274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.200383722782135},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.11622464656829834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056550979614258},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.690220832824707},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6523443460464478},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6132358908653259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.600092887878418},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5849624872207642},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5252898931503296},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5088301301002502},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4975018799304962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4820155203342438},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48127835988998413},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.4376477003097534},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.41912198066711426},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.37804171442985535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37383586168289185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3711853623390198},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.36132341623306274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.200383722782135},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.11622464656829834},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393347.2396337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2396337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","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":16,"referenced_works":["https://openalex.org/W1987040325","https://openalex.org/W1998749283","https://openalex.org/W2026014384","https://openalex.org/W2067766814","https://openalex.org/W2104208555","https://openalex.org/W2109743529","https://openalex.org/W2124372976","https://openalex.org/W2162006472","https://openalex.org/W2162670057","https://openalex.org/W2164338181","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W6676602786","https://openalex.org/W6684181414","https://openalex.org/W6691474080","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W1554555624","https://openalex.org/W2184777945","https://openalex.org/W1998749283","https://openalex.org/W2584541861","https://openalex.org/W2104208555","https://openalex.org/W1997107867","https://openalex.org/W2029205712","https://openalex.org/W4212830455","https://openalex.org/W2731762968"],"abstract_inverted_index":{"Hashing":[0],"methods,":[1],"which":[2],"generate":[3],"binary":[4],"codes":[5],"to":[6,103,115],"preserve":[7],"certain":[8],"similarity,":[9],"recently":[10],"have":[11],"become":[12],"attractive":[13],"in":[14,42],"many":[15],"applications":[16],"like":[17],"large":[18],"scale":[19],"visual":[20,98],"search.":[21,44,108],"However,":[22],"most":[23],"of":[24,88,93],"state-of-the-art":[25,147],"hashing":[26,52,65,118],"methods":[27],"only":[28,83],"utilize":[29],"single":[30],"feature":[31,64],"type,":[32],"while":[33],"combining":[34],"multiple":[35,63,77],"features":[36],"has":[37],"been":[38],"proved":[39],"very":[40],"helpful":[41,102],"image":[43],"In":[45],"this":[46],"paper":[47],"we":[48],"propose":[49],"a":[50,70],"novel":[51],"approach":[53],"that":[54,135],"utilizes":[55],"the":[56,117,121,136],"information":[57],"conveyed":[58],"by":[59,96],"different":[60,97],"features.":[61],"The":[62],"can":[66,139],"be":[67],"formulated":[68],"as":[69],"similarity":[71],"preserving":[72],"problem":[73],"with":[74,85],"optimal":[75,122],"linearly-combined":[76],"kernels.":[78],"Such":[79],"formulation":[80],"is":[81],"not":[82],"compatible":[84],"general":[86],"types":[87,92],"data":[89],"and":[90,107,120,132,142],"diverse":[91],"similarities":[94],"indicated":[95],"features,":[99],"but":[100],"also":[101],"achieve":[104,140],"fast":[105],"training":[106],"We":[109],"present":[110],"an":[111],"efficient":[112],"alternating":[113],"optimization":[114],"learn":[116],"functions":[119],"kernel":[123],"combination.":[124],"Experimental":[125],"results":[126],"on":[127],"two":[128],"well-known":[129],"benchmarks":[130],"CIFAR-10":[131],"NUS-WIDE":[133],"show":[134],"proposed":[137],"method":[138],"11%":[141],"34%":[143],"performance":[144],"gains":[145],"over":[146],"methods.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
