{"id":"https://openalex.org/W2765950624","doi":"https://doi.org/10.1007/978-3-319-70093-9_45","title":"Double-Coding Density Sensitive Hashing","display_name":"Double-Coding Density Sensitive Hashing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765950624","doi":"https://doi.org/10.1007/978-3-319-70093-9_45","mag":"2765950624"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-70093-9_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"book-chapter","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/A5041574107","display_name":"Xiaoliang Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoliang Tang","raw_affiliation_strings":["Liaoning Technical University, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365484","display_name":"Xing Wang","orcid":"https://orcid.org/0000-0001-8704-7861"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wang","raw_affiliation_strings":["Liaoning Technical University, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101644888","display_name":"Di Jia","orcid":"https://orcid.org/0000-0002-0245-8109"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Jia","raw_affiliation_strings":["Liaoning Technical University, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070638916","display_name":"Song Wei-dong","orcid":"https://orcid.org/0000-0003-4631-4964"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Song","raw_affiliation_strings":["Liaoning Technical University, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113498074","display_name":"Xiangfu Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfu Meng","raw_affiliation_strings":["Liaoning Technical University, Huludao, 125105, China"],"affiliations":[{"raw_affiliation_string":"Liaoning Technical University, Huludao, 125105, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041574107"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":63},"biblio":{"volume":null,"issue":null,"first_page":"429","last_page":"438"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Image Feature Retrieval and Recognition Techniques","score":0.9998,"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":"Image Feature Retrieval and Recognition Techniques","score":0.9998,"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":"Text Compression and Indexing Algorithms","score":0.973,"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/T10331","display_name":"Visual Object Tracking and Person Re-identification","score":0.9715,"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/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.7280782},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.64162874},{"id":"https://openalex.org/keywords/hashing","display_name":"Hashing","score":0.604685},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.5757136},{"id":"https://openalex.org/keywords/binary-codes","display_name":"Binary Codes","score":0.540026},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.5225934},{"id":"https://openalex.org/keywords/approximate-matching","display_name":"Approximate Matching","score":0.522213},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.51996124},{"id":"https://openalex.org/keywords/cross-modal-retrieval","display_name":"Cross-Modal Retrieval","score":0.505368},{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"Multiple Object Tracking","score":0.503379},{"id":"https://openalex.org/keywords/rolling-hash","display_name":"Rolling hash","score":0.42738715}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7615932},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.7280782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72236025},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.64162874},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.61122495},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.5757136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.534804},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.5225934},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.5205739},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.51996124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5132563},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.50309247},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43759114},{"id":"https://openalex.org/C108546238","wikidata":"https://www.wikidata.org/wiki/Q4228982","display_name":"Rolling hash","level":5,"score":0.42738715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18456319},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09243879},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-70093-9_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.67,"id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W2040918046","https://openalex.org/W2090836891","https://openalex.org/W2525862152","https://openalex.org/W2534101049","https://openalex.org/W2615555727","https://openalex.org/W29009527"],"related_works":["https://openalex.org/W4387259573","https://openalex.org/W4302287190","https://openalex.org/W4286981687","https://openalex.org/W3201001079","https://openalex.org/W3030563642","https://openalex.org/W2247935935","https://openalex.org/W2069305575","https://openalex.org/W2008682098","https://openalex.org/W1551533237","https://openalex.org/W104500322"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"double-coding":[4],"density":[5,73],"sensitive":[6],"hashing":[7,129],"(DCDSH)":[8],"method.":[9],"DCDSH":[10,25,51,98,121],"accomplishes":[11],"approximate":[12],"nearest":[13],"neighbor":[14],"(ANN)":[15],"search":[16],"tasks":[17],"based":[18,56],"on":[19,57,111],"its":[20],"double":[21],"coding":[22],"scheme.":[23],"First,":[24],"generates":[26],"real-valued":[27,59],"hash":[28,54,60,63,107],"codes":[29,55,64,84],"by":[30,41],"projecting":[31],"objects":[32,70],"along":[33],"the":[34,91,100,119],"principle":[35,42],"hyper-planes.":[36],"These":[37],"hyper-planes":[38],"are":[39],"determined":[40],"distributions":[43],"and":[44,75,80],"geometric":[45],"structures":[46],"of":[47,69,102,106],"data":[48,116],"set.":[49],"Second,":[50],"derives":[52],"binary":[53],"these":[58,103],"codes.":[61,108],"Real-valued":[62],"can":[65],"avoid":[66],"undesirable":[67],"partition":[68],"in":[71],"low":[72,92],"areas":[74],"effectively":[76],"improve":[77],"representation":[78],"capability":[79],"discriminating":[81],"power.":[82],"Binary":[83],"contribute":[85],"to":[86,90,126],"query":[87],"speed":[88],"owing":[89],"complexity":[93],"for":[94],"computing":[95],"hamming":[96],"distance.":[97],"integrates":[99],"advantages":[101],"two":[104],"kinds":[105],"Experimental":[109],"results":[110],"large":[112],"scale":[113],"high":[114],"dimensional":[115],"show":[117],"that":[118],"proposed":[120],"exhibits":[122],"superior":[123],"performance":[124],"compared":[125],"several":[127],"state-of-the-art":[128],"methods.":[130]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2765950624","counts_by_year":[],"updated_date":"2024-11-28T15:06:54.147126","created_date":"2017-11-10"}