{"id":"https://openalex.org/W3090864713","doi":"https://doi.org/10.1109/icip40778.2020.9191343","title":"Supervised Multi-View Distributed Hashing","display_name":"Supervised Multi-View Distributed Hashing","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090864713","doi":"https://doi.org/10.1109/icip40778.2020.9191343","mag":"3090864713"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","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/A5074222940","display_name":"Yunpeng Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunpeng Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061132796","display_name":"Xiaobo Shen","orcid":"https://orcid.org/0000-0001-8494-4532"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044758681","display_name":"Zexuan Ji","orcid":"https://orcid.org/0000-0003-1665-0270"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexuan Ji","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453612","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-8807-9352"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040037442","display_name":"Peng Fu","orcid":"https://orcid.org/0000-0001-6089-5932"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Fu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034434932","display_name":"Quansen Sun","orcid":"https://orcid.org/0000-0001-6019-1986"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan-Sen Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074222940"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10660751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":null,"first_page":"2306","last_page":"2310"},"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":0.9825999736785889,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9570000171661377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8089866638183594},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.75543212890625},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.7025802731513977},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.6497665643692017},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6302040815353394},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.6219035387039185},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5951573252677917},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5698989033699036},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.5110493898391724},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45002302527427673},{"id":"https://openalex.org/keywords/consistent-hashing","display_name":"Consistent hashing","score":0.4419345259666443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4306654632091522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4270387291908264},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.42362964153289795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4234170615673065},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.383733332157135},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.35662782192230225},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.21647575497627258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07393646240234375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8089866638183594},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.75543212890625},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.7025802731513977},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.6497665643692017},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6302040815353394},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.6219035387039185},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5951573252677917},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5698989033699036},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5110493898391724},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45002302527427673},{"id":"https://openalex.org/C56856351","wikidata":"https://www.wikidata.org/wiki/Q1757218","display_name":"Consistent hashing","level":5,"score":0.4419345259666443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4306654632091522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4270387291908264},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.42362964153289795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4234170615673065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.383733332157135},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.35662782192230225},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.21647575497627258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07393646240234375},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip40778.2020.9191343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1576445103","https://openalex.org/W1910300841","https://openalex.org/W1922778857","https://openalex.org/W1974647172","https://openalex.org/W2007972815","https://openalex.org/W2018378172","https://openalex.org/W2025432722","https://openalex.org/W2079202281","https://openalex.org/W2093932377","https://openalex.org/W2142881874","https://openalex.org/W2162670057","https://openalex.org/W2164278908","https://openalex.org/W2167451801","https://openalex.org/W2293597654","https://openalex.org/W2519051215","https://openalex.org/W2592051024","https://openalex.org/W2594227027","https://openalex.org/W2751486419","https://openalex.org/W2805087257","https://openalex.org/W2952343478","https://openalex.org/W2963213486","https://openalex.org/W2981076146","https://openalex.org/W2982905682","https://openalex.org/W3118608800","https://openalex.org/W4292363360","https://openalex.org/W6629956336","https://openalex.org/W6634343353","https://openalex.org/W6640202650","https://openalex.org/W6681077227","https://openalex.org/W6684302560","https://openalex.org/W6697214482","https://openalex.org/W6734286438","https://openalex.org/W6734562847","https://openalex.org/W6751549983"],"related_works":["https://openalex.org/W2076162755","https://openalex.org/W2334522381","https://openalex.org/W4385382899","https://openalex.org/W2084899141","https://openalex.org/W2585520041","https://openalex.org/W2000284985","https://openalex.org/W2184777945","https://openalex.org/W2811247857","https://openalex.org/W2893252848","https://openalex.org/W220637603"],"abstract_inverted_index":{"Multi-view":[0],"hashing":[1,52,135],"efficiently":[2],"integrates":[3],"multi-view":[4,20,50,59,134],"data":[5,21,60],"for":[6,54],"learning":[7,33,57,74,90],"compact":[8],"hash":[9,31,55,70],"codes,":[10],"and":[11,79,107,110,129],"achieves":[12,125],"impressive":[13],"large-scale":[14,119],"retrieval":[15,127],"performance.":[16],"In":[17],"real-world":[18],"applications,":[19],"are":[22,113],"often":[23],"stored":[24],"or":[25],"collected":[26],"in":[27,61,105],"different":[28],"locations,":[29],"where":[30],"code":[32,56],"is":[34,92],"more":[35],"challenging":[36],"yet":[37],"less":[38],"studied.":[39],"To":[40],"fulfill":[41],"this":[42,44],"gap,":[43],"paper":[45],"proposes":[46],"a":[47,62,95],"novel":[48],"supervised":[49],"distributed":[51,63,89],"(SMvDisH)":[53],"from":[58],"manner.":[64],"SMvDisH":[65,124],"yields":[66],"the":[67,88,108],"discriminative":[68],"latent":[69,76],"codes":[71],"by":[72],"joint":[73],"of":[75,97],"factor":[77],"model":[78],"classifier.":[80],"With":[81],"local":[82],"consistency":[83],"assumption":[84],"among":[85],"neighbor":[86],"nodes,":[87],"problem":[91],"divided":[93],"into":[94],"set":[96],"decentralized":[98],"sub-problems.":[99],"The":[100],"sub-problems":[101],"can":[102],"be":[103],"solved":[104],"parallel,":[106],"computational":[109],"communication":[111],"costs":[112],"low.":[114],"Experimental":[115],"results":[116],"on":[117],"three":[118],"image":[120],"datasets":[121],"demonstrate":[122],"that":[123],"competitive":[126],"performance":[128],"trains":[130],"faster":[131],"than":[132],"state-of-the-art":[133],"methods.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
