{"id":"https://openalex.org/W2565611351","doi":"https://doi.org/10.1109/tnnls.2016.2636870","title":"Supervised Discrete Hashing With Relaxation","display_name":"Supervised Discrete Hashing With Relaxation","publication_year":2016,"publication_date":"2016-12-29","ids":{"openalex":"https://openalex.org/W2565611351","doi":"https://doi.org/10.1109/tnnls.2016.2636870","mag":"2565611351","pmid":"https://pubmed.ncbi.nlm.nih.gov/28055923"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2636870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2636870","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5110740283","display_name":"Jie Gui","orcid":"https://orcid.org/0000-0002-9450-1759"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Gui","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China","Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9450-1759","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065250332","display_name":"Tongliang Liu","orcid":"https://orcid.org/0000-0002-9640-6472"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tongliang Liu","raw_affiliation_strings":["Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9640-6472","affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055505703","display_name":"Zhenan Sun","orcid":"https://orcid.org/0000-0003-4029-9935"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan Sun","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dacheng Tao","raw_affiliation_strings":["School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111885963","display_name":"Tieniu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210097554","display_name":"Center for Excellence in Brain Science and Intelligence Technology","ror":"https://ror.org/00vpwhm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210097554"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieniu Tan","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210097554","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":7.3854,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.9781913,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"29","issue":"3","first_page":"608","last_page":"617"},"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":0.996999979019165,"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/T10057","display_name":"Face and Expression Recognition","score":0.9957000017166138,"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":0.5641345977783203},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5553073287010193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5444387793540955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5194444060325623},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49622899293899536},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.4466257691383362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.289004921913147},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1737099587917328},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16694313287734985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5641345977783203},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5553073287010193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5444387793540955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5194444060325623},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49622899293899536},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.4466257691383362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.289004921913147},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1737099587917328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16694313287734985},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2016.2636870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2636870","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28055923","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28055923","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 neural networks and learning systems","raw_type":"Journal Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/134273","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/134273","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1263465211","display_name":"Multiview Complete Space Learning for Sparse Camera Network Research","funder_award_id":"FT130101457","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G4755683731","display_name":"Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd","funder_award_id":"DP140102164","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G4773311257","display_name":"\u57fa\u4e8e\u7ed3\u6784\u7ea6\u675f\u7684\u89c6\u89c9\u5927\u6570\u636e\u7684\u7b80\u6d01\u8868\u793a","funder_award_id":"61572463","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6199876064","display_name":null,"funder_award_id":"61573360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7227456667","display_name":null,"funder_award_id":"201700027","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G7625075798","display_name":"FlashLite: A High Performance  Machine for Data Intensive Science","funder_award_id":"LE140100061","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":"https://ror.org/02aztsv52"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W1502916507","https://openalex.org/W1546243588","https://openalex.org/W1566135517","https://openalex.org/W1910300841","https://openalex.org/W1913628733","https://openalex.org/W1915802403","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1985417744","https://openalex.org/W1992371516","https://openalex.org/W2004427069","https://openalex.org/W2067766814","https://openalex.org/W2074668987","https://openalex.org/W2084363474","https://openalex.org/W2089632823","https://openalex.org/W2113307832","https://openalex.org/W2125378448","https://openalex.org/W2126210882","https://openalex.org/W2134514757","https://openalex.org/W2137659841","https://openalex.org/W2145607950","https://openalex.org/W2150307973","https://openalex.org/W2153273131","https://openalex.org/W2162670057","https://openalex.org/W2164338181","https://openalex.org/W2171700594","https://openalex.org/W2171790913","https://openalex.org/W2187089797","https://openalex.org/W2221448138","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2334805829","https://openalex.org/W2344552205","https://openalex.org/W2402125293","https://openalex.org/W2403689645","https://openalex.org/W2411453649","https://openalex.org/W2427656690","https://openalex.org/W2464915613","https://openalex.org/W2913932916","https://openalex.org/W2963398644","https://openalex.org/W3103722964","https://openalex.org/W3106512200","https://openalex.org/W6608183366","https://openalex.org/W6629956336","https://openalex.org/W6648560114","https://openalex.org/W6676931166","https://openalex.org/W6678556256","https://openalex.org/W6684181414","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6712733126","https://openalex.org/W6713632385"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W4380078352","https://openalex.org/W3046591097","https://openalex.org/W4389249638","https://openalex.org/W3208266890","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Data-dependent":[0],"hashing":[1,33,38],"has":[2],"recently":[3],"attracted":[4],"attention":[5],"due":[6],"to":[7,10],"being":[8],"able":[9],"support":[11],"efficient":[12],"retrieval":[13],"and":[14,23,54,126,145,147,150,159],"storage":[15],"of":[16,59,95,122,161],"high-dimensional":[17],"data,":[18],"such":[19],"as":[20,63],"documents,":[21],"images,":[22],"videos.":[24],"In":[25,74],"this":[26],"paper,":[27],"we":[28],"propose":[29],"a":[30,88,148],"novel":[31],"learning-based":[32],"method":[34],"called":[35],"\"supervised":[36,44],"discrete":[37,45],"with":[39,99],"relaxation\"":[40],"(SDHR)":[41],"based":[42],"on":[43,138],"hashing\"":[46],"(SDH).":[47],"SDH":[48],"uses":[49,102],"ordinary":[50],"least":[51],"squares":[52],"regression":[53,65,72,77,84,111,124],"traditional":[55,104],"zero-one":[56,105],"matrix":[57,86,113],"encoding":[58],"class":[60],"label":[61],"information":[62],"the":[64,71,76,103,109,119,123,157],"target":[66,78,85,112],"(code":[67],"words),":[68],"thus":[69],"fixing":[70],"target.":[73],"SDHR,":[75],"is":[79,127],"instead":[80],"optimized.":[81],"The":[82],"optimized":[83],"satisfies":[87],"large":[89],"margin":[90],"constraint":[91],"for":[92],"correct":[93],"classification":[94,120],"each":[96],"example.":[97],"Compared":[98],"SDH,":[100],"which":[101],"matrix,":[106],"SDHR":[107,132],"utilizes":[108],"learned":[110],"and,":[114],"therefore,":[115],"more":[116,128],"accurately":[117],"measures":[118],"error":[121],"model":[125],"flexible.":[129],"As":[130],"expected,":[131],"generally":[133],"outperforms":[134],"SDH.":[135],"Experimental":[136],"results":[137],"two":[139],"large-scale":[140,149],"image":[141],"data":[142,153],"sets":[143],"(CIFAR-10":[144],"MNIST)":[146],"challenging":[151],"face":[152],"set":[154],"(FRGC)":[155],"demonstrate":[156],"effectiveness":[158],"efficiency":[160],"SDHR.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":4}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2025-10-10T00:00:00"}
