{"id":"https://openalex.org/W2047549273","doi":"https://doi.org/10.1145/2536853.2536934","title":"Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search","display_name":"Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2047549273","doi":"https://doi.org/10.1145/2536853.2536934","mag":"2047549273"},"language":"en","primary_location":{"id":"doi:10.1145/2536853.2536934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2536853.2536934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Advances in Mobile Computing & Multimedia - MoMM '13","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/A5053167483","display_name":"Danchen Zhang","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":true,"raw_author_name":"Danchen Zhang","raw_affiliation_strings":["State Key Lab of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","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":false,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":["State Key Lab of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab 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 Lab of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053167483"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70336041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"208"},"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":0.9929999709129333,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9926999807357788,"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":0.7260380387306213},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7233123183250427},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.594959020614624},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5798727869987488},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.517250120639801},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5131421685218811},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.46814802289009094},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4265924096107483},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4130905270576477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3607632517814636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17399126291275024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260380387306213},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7233123183250427},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.594959020614624},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5798727869987488},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.517250120639801},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5131421685218811},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.46814802289009094},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4265924096107483},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4130905270576477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3607632517814636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17399126291275024},{"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:10.1145/2536853.2536934","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2536853.2536934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Advances in Mobile Computing & Multimedia - MoMM '13","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W118147013","https://openalex.org/W1969241115","https://openalex.org/W1972036246","https://openalex.org/W1982193706","https://openalex.org/W1982508576","https://openalex.org/W2026014384","https://openalex.org/W2126794261","https://openalex.org/W2171790913","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W3152330821"],"related_works":["https://openalex.org/W102859714","https://openalex.org/W2044784665","https://openalex.org/W2000284985","https://openalex.org/W3034876737","https://openalex.org/W2086731314","https://openalex.org/W2985440808","https://openalex.org/W2158169729","https://openalex.org/W2169139294","https://openalex.org/W4220867825","https://openalex.org/W2613090906"],"abstract_inverted_index":{"Hashing":[0],"for":[1,56,115],"nearest":[2],"neighbor":[3],"search":[4],"has":[5],"attracted":[6],"great":[7],"attentions":[8],"in":[9,20],"the":[10,24,37,77,102,106],"past":[11],"years.":[12],"Many":[13],"hashing":[14,91,125,128,131],"methods":[15,147],"have":[16],"been":[17],"successfully":[18],"applied":[19],"real-world":[21],"applications":[22,32],"like":[23],"mobile":[25],"product":[26],"search.":[27],"The":[28,135],"performance":[29],"of":[30,39,46],"these":[31],"usually":[33],"highly":[34],"relies":[35],"on":[36,109],"quality":[38],"hash":[40,54,74,122],"bits.":[41],"However,":[42],"it":[43],"still":[44],"lacks":[45],"a":[47,64,85,110],"general":[48],"method":[49,66,81],"that":[50,67,138],"can":[51,68,82],"provide":[52],"good":[53],"bits":[55,75],"different":[57,90,127],"scenarios.":[58,152],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"novel":[65],"select":[69],"compact,":[70],"independent":[71],"and":[72,98,100,130],"informative":[73],"using":[76,126],"Markov":[78],"Process.":[79],"Our":[80],"serve":[83],"as":[84,105],"unified":[86],"framework":[87],"compatible":[88],"with":[89,132],"methods.":[92],"We":[93],"design":[94],"two":[95,116,151],"algorithms,":[96],"BS-CMP":[97],"BS-DMP,":[99],"formulate":[101],"selection":[103,118,142,146],"problem":[104],"subgraph":[107],"discovery":[108],"graph.":[111],"Experiments":[112],"are":[113],"conducted":[114],"important":[117],"scenarios":[119],"when":[120],"applying":[121],"techniques,":[123],"i.e.,":[124],"algorithms":[129],"multiple":[133],"features.":[134],"result":[136],"indicates":[137],"our":[139],"proposed":[140],"bit":[141],"approaches":[143],"outperform":[144],"naive":[145],"significantly":[148],"under":[149],"aforementioned":[150]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}