{"id":"https://openalex.org/W2555926745","doi":"https://doi.org/10.1109/ijcnn.2016.7727476","title":"Deep hashing learning networks","display_name":"Deep hashing learning networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2555926745","doi":"https://doi.org/10.1109/ijcnn.2016.7727476","mag":"2555926745"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5046728432","display_name":"Guoqiang Zhong","orcid":"https://orcid.org/0000-0002-2952-6642"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Zhong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101578854","display_name":"Hui Xu","orcid":"https://orcid.org/0000-0003-0614-7591"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101962960","display_name":"Yang Pan","orcid":"https://orcid.org/0009-0002-0390-1835"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016300735","display_name":"Sijiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijiang Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":1.1071,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89855072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2236","last_page":"2243"},"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":0.9987000226974487,"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":0.9861000180244446,"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/feature-hashing","display_name":"Feature hashing","score":0.7954928874969482},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7656080722808838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093875408172607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6988270282745361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687672138214111},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6660022735595703},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.48213836550712585},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4766712486743927},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4718594253063202},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.45429128408432007},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45302459597587585},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.44012191891670227},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.43256497383117676},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4291134774684906},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.40626972913742065},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.34119096398353577},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3334616720676422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18652459979057312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15322482585906982}],"concepts":[{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.7954928874969482},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7656080722808838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093875408172607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6988270282745361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687672138214111},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6660022735595703},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.48213836550712585},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4766712486743927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4718594253063202},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.45429128408432007},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45302459597587585},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.44012191891670227},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.43256497383117676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4291134774684906},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.40626972913742065},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.34119096398353577},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3334616720676422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18652459979057312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15322482585906982},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/ijcnn.2016.7727476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W189214596","https://openalex.org/W763419999","https://openalex.org/W1502916507","https://openalex.org/W1532257412","https://openalex.org/W1625255723","https://openalex.org/W1799366690","https://openalex.org/W1883985887","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2053017876","https://openalex.org/W2084363474","https://openalex.org/W2097117768","https://openalex.org/W2131846894","https://openalex.org/W2144172034","https://openalex.org/W2144892774","https://openalex.org/W2147414309","https://openalex.org/W2147800946","https://openalex.org/W2155893237","https://openalex.org/W2162006472","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2166127773","https://openalex.org/W2171790913","https://openalex.org/W2173790122","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2913932916","https://openalex.org/W2950179405","https://openalex.org/W2963542991","https://openalex.org/W4240726888","https://openalex.org/W6600213771","https://openalex.org/W6629368666","https://openalex.org/W6629956336","https://openalex.org/W6636494156","https://openalex.org/W6638444622","https://openalex.org/W6674914833","https://openalex.org/W6681239517","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688844344","https://openalex.org/W6691474080","https://openalex.org/W6697060382","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W1870428314","https://openalex.org/W2023326318","https://openalex.org/W2783286101","https://openalex.org/W2921167217","https://openalex.org/W4212830455","https://openalex.org/W2000284985","https://openalex.org/W2158169729","https://openalex.org/W2253231004","https://openalex.org/W2086731314","https://openalex.org/W2058116810"],"abstract_inverted_index":{"Hashing-based":[0],"methods":[1],"seek":[2],"compact":[3,44,118,133],"and":[4,38,117],"efficient":[5],"binary":[6,45,128],"codes":[7,129],"that":[8,81,147],"preserve":[9,62],"the":[10,43,56,58,69,77,82,89,124,137,148],"similarity":[11],"between":[12],"data.":[13],"For":[14],"most":[15],"existing":[16],"hashing":[17,99,115,154],"methods,":[18],"an":[19],"input":[20],"(e.g.":[21],"image)":[22],"is":[23,74],"first":[24],"encoded":[25],"as":[26],"a":[27,35,97,104,132],"vector":[28],"of":[29,48,55,65,120],"hand-crafted":[30,49],"visual":[31],"feature,":[32],"followed":[33],"by":[34,130],"hash":[36,70,90],"projection":[37],"quantization":[39],"step":[40],"to":[41,113],"obtain":[42],"vector.":[46],"Most":[47],"features":[50],"only":[51],"encode":[52],"low-level":[53],"information":[54],"input,":[57],"feature":[59,78,83],"may":[60,84],"not":[61,85],"semantic":[63],"similarities":[64],"pairwise":[66],"inputs.":[67],"Meanwhile,":[68],"function":[71],"learning":[72,100,155],"process":[73],"independent":[75],"with":[76],"representation,":[79],"so":[80],"be":[86],"optimal":[87],"for":[88],"projection.":[91],"In":[92],"this":[93],"paper,":[94],"we":[95],"propose":[96],"supervised":[98],"method":[101],"based":[102],"on":[103,141],"well":[105],"designed":[106],"deep":[107],"convolutional":[108],"neural":[109],"network,":[110],"which":[111],"tries":[112],"learn":[114],"code":[116],"representations":[119],"data":[121,144],"simultaneously.":[122],"Particularly,":[123],"proposed":[125,149],"model":[126,150],"learns":[127],"adding":[131],"sigmoid":[134],"layer":[135],"before":[136],"classifier":[138],"layer.":[139],"Experiments":[140],"several":[142],"image":[143],"sets":[145],"show":[146],"outperforms":[151],"other":[152],"state-of-the-art":[153],"approaches.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
