{"id":"https://openalex.org/W2607836361","doi":"https://doi.org/10.1109/icpr.2016.7900234","title":"Adaptive Hashing with Sparse Modification","display_name":"Adaptive Hashing with Sparse Modification","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607836361","doi":"https://doi.org/10.1109/icpr.2016.7900234","mag":"2607836361"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5100453747","display_name":"Lifang Zhang","orcid":"https://orcid.org/0000-0001-9461-4633"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifang Zhang","raw_affiliation_strings":["Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102826951","display_name":"Qi Shen","orcid":"https://orcid.org/0000-0002-9651-1985"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Shen","raw_affiliation_strings":["Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999863","display_name":"Defang Li","orcid":"https://orcid.org/0000-0001-8254-552X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defang Li","raw_affiliation_strings":["Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650475","display_name":"Xin Tang","orcid":"https://orcid.org/0000-0002-3810-7386"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tang","raw_affiliation_strings":["College of science, Huazhong Agricultural University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of science, Huazhong Agricultural University, Wuhan, China","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082533874","display_name":"Patrick S. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick S. Wang","raw_affiliation_strings":["ECNU, CCIS, Northeastern University, Boston, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECNU, CCIS, Northeastern University, Boston, Shanghai, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090531329","display_name":"Guocan Feng","orcid":"https://orcid.org/0000-0002-0097-5591"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guocan Feng","raw_affiliation_strings":["Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science Sun Yatsen University, Guanzzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"3844","last_page":"3849"},"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":0.9886999726295471,"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":0.9767000079154968,"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/universal-hashing","display_name":"Universal hashing","score":0.6768685579299927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6762625575065613},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5685629844665527},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.5467804670333862},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5157225728034973},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5133017897605896},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5107893943786621},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.506503701210022},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.48042869567871094},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4621056020259857},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.45469728112220764},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.45178306102752686},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4183327853679657},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.23257523775100708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21190235018730164}],"concepts":[{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6768685579299927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6762625575065613},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5685629844665527},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.5467804670333862},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5157225728034973},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5133017897605896},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5107893943786621},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.506503701210022},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.48042869567871094},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4621056020259857},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.45469728112220764},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.45178306102752686},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4183327853679657},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.23257523775100708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21190235018730164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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":[{"id":"doi:10.1109/icpr.2016.7900234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W138476454","https://openalex.org/W1566135517","https://openalex.org/W1577635650","https://openalex.org/W1923760064","https://openalex.org/W1982851590","https://openalex.org/W1998803396","https://openalex.org/W2034562453","https://openalex.org/W2039284087","https://openalex.org/W2044195942","https://openalex.org/W2057069782","https://openalex.org/W2084363474","https://openalex.org/W2124509324","https://openalex.org/W2145607950","https://openalex.org/W2147717514","https://openalex.org/W2151103935","https://openalex.org/W2154956324","https://openalex.org/W2160547390","https://openalex.org/W2162006472","https://openalex.org/W2162064258","https://openalex.org/W2164338181","https://openalex.org/W2181770152","https://openalex.org/W2251864938","https://openalex.org/W2293508680","https://openalex.org/W2293597654","https://openalex.org/W3118608800","https://openalex.org/W4229706427","https://openalex.org/W4253515568","https://openalex.org/W6605558903","https://openalex.org/W6640114973","https://openalex.org/W6684181414","https://openalex.org/W6691474080","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W4385382899","https://openalex.org/W2094127768","https://openalex.org/W2084899141","https://openalex.org/W1994360333","https://openalex.org/W2811247857","https://openalex.org/W2740037903","https://openalex.org/W1554555624","https://openalex.org/W2544145541","https://openalex.org/W230433452","https://openalex.org/W2169139294"],"abstract_inverted_index":{"By":[0],"representing":[1],"data":[2,14,20,35,88,109,154],"through":[3],"compact":[4],"binary":[5,61],"encodings,":[6],"hashing":[7,27,150],"techniques":[8],"have":[9],"been":[10],"widely":[11],"used":[12],"for":[13,86,95],"retrieval":[15],"because":[16],"of":[17,34,64,67,75,100,108],"their":[18],"large":[19],"storage":[21],"and":[22,69,89,116,130],"efficient":[23],"computational":[24,138],"time.":[25],"Most":[26],"algorithms":[28],"typically":[29],"learn":[30],"a":[31,48],"finite":[32],"number":[33],"projections,":[36],"but":[37],"learning":[38],"optimal":[39,106],"projections":[40],"remains":[41],"unaddressed.":[42],"To":[43],"deal":[44],"with":[45,54],"this":[46,79],"limitation,":[47],"novel":[49],"approach,":[50],"dubbed":[51],"Adaptive":[52],"Hashing":[53],"Sparse":[55],"Modification(AHSM),":[56],"is":[57,84,93,103,110,127,134],"proposed":[58],"that":[59,104,144],"learns":[60],"indices":[62],"composed":[63],"the":[65,70,90,124,131],"vertices":[66],"hypercube":[68],"projection":[71],"matrix":[72,83],"are":[73],"comprised":[74],"two":[76,122],"matrices":[77],"in":[78],"paper.":[80],"The":[81,98],"first":[82,125],"orthogonal":[85],"rotating":[87],"second":[91,132],"one":[92,126,133],"sparse":[94],"modifying":[96],"data.":[97],"essence":[99],"our":[101],"scheme":[102],"an":[105],"transformation":[107],"learned":[111],"to":[112],"minimize":[113],"quantization":[114],"distortion":[115],"improve":[117],"model":[118],"fidelity.":[119],"AHSM":[120,145],"has":[121],"contributions:":[123],"accuracy":[128],"improvement,":[129],"no":[135],"increase":[136],"on":[137,152],"complexity.":[139],"Through":[140],"experiments,":[141],"we":[142],"find":[143],"substantially":[146],"surpasses":[147],"several":[148],"state-of-the-art":[149],"schemes":[151],"three":[153],"sets.":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}