{"id":"https://openalex.org/W2799787995","doi":"https://doi.org/10.1109/tnnls.2018.2827036","title":"Transfer Hashing: From Shallow to Deep","display_name":"Transfer Hashing: From Shallow to Deep","publication_year":2018,"publication_date":"2018-05-08","ids":{"openalex":"https://openalex.org/W2799787995","doi":"https://doi.org/10.1109/tnnls.2018.2827036","mag":"2799787995","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993900"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2827036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2827036","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/A5045125183","display_name":"Joey Tianyi Zhou","orcid":"https://orcid.org/0000-0002-4675-7055"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Joey Tianyi Zhou","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4675-7055","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101958386","display_name":"Heng Zhao","orcid":"https://orcid.org/0000-0002-8855-1880"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Heng Zhao","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8855-1880","affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022800038","display_name":"Xi Peng","orcid":"https://orcid.org/0000-0002-5727-2790"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Peng","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5727-2790","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400497","display_name":"Meng Fang","orcid":"https://orcid.org/0000-0003-0793-9187"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Fang","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0793-9187","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695329","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0003-4373-4111"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001599295","display_name":"Rick Siow Mong Goh","orcid":"https://orcid.org/0000-0001-9116-1595"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I3004594783","display_name":"Institute of High Performance Computing","ror":"https://ror.org/02n0ejh50","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3004594783","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rick Siow Mong Goh","raw_affiliation_strings":["Institute of High Performance Computing, A*STAR, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Performance Computing, A*STAR, Singapore","institution_ids":["https://openalex.org/I3004594783","https://openalex.org/I115228651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5045125183"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I3004594783"],"apc_list":null,"apc_paid":null,"fwci":8.9232,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.98360744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":"12","first_page":"6191","last_page":"6201"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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":"Video Surveillance and Tracking Methods","score":0.9936000108718872,"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":0.7213768362998962},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6823216080665588},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6148679256439209},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5646035075187683},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5080862045288086},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4851115942001343},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.46596673130989075},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.46399709582328796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45898211002349854},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.422295480966568},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.41993576288223267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3126232624053955},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.2629806399345398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15943953394889832},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.10681971907615662},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09060725569725037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7213768362998962},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6823216080665588},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6148679256439209},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5646035075187683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5080862045288086},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4851115942001343},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.46596673130989075},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.46399709582328796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45898211002349854},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.422295480966568},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.41993576288223267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3126232624053955},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2629806399345398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15943953394889832},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.10681971907615662},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09060725569725037},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2018.2827036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2827036","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:29993900","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993900","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":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G7411043749","display_name":null,"funder_award_id":"U1435213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7667418","display_name":null,"funder_award_id":"YJ201748","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7670333304","display_name":null,"funder_award_id":"61432012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W639708223","https://openalex.org/W1614298861","https://openalex.org/W1686810756","https://openalex.org/W1906374873","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W1997379154","https://openalex.org/W2007972815","https://openalex.org/W2020308406","https://openalex.org/W2040918046","https://openalex.org/W2049993534","https://openalex.org/W2057069782","https://openalex.org/W2059145105","https://openalex.org/W2062518264","https://openalex.org/W2064675550","https://openalex.org/W2067562626","https://openalex.org/W2084363474","https://openalex.org/W2118181058","https://openalex.org/W2125378448","https://openalex.org/W2126116132","https://openalex.org/W2126942721","https://openalex.org/W2129250947","https://openalex.org/W2132898581","https://openalex.org/W2133564696","https://openalex.org/W2142742813","https://openalex.org/W2145065594","https://openalex.org/W2153320597","https://openalex.org/W2163345210","https://openalex.org/W2163605009","https://openalex.org/W2169408065","https://openalex.org/W2170607218","https://openalex.org/W2173379916","https://openalex.org/W2245692474","https://openalex.org/W2251864938","https://openalex.org/W2266728343","https://openalex.org/W2267050401","https://openalex.org/W2281948289","https://openalex.org/W2341673976","https://openalex.org/W2461086877","https://openalex.org/W2556685112","https://openalex.org/W2568148245","https://openalex.org/W2575321326","https://openalex.org/W2594105920","https://openalex.org/W2600889608","https://openalex.org/W2613718673","https://openalex.org/W2627183927","https://openalex.org/W2691067844","https://openalex.org/W2728595794","https://openalex.org/W2739103128","https://openalex.org/W2768166594","https://openalex.org/W2781821509","https://openalex.org/W2913932916","https://openalex.org/W2950577311","https://openalex.org/W2962867939","https://openalex.org/W2963213486","https://openalex.org/W3103722964","https://openalex.org/W3105246522","https://openalex.org/W4293334232","https://openalex.org/W6608183366","https://openalex.org/W6620707391","https://openalex.org/W6666129339","https://openalex.org/W6678556256","https://openalex.org/W6678739253","https://openalex.org/W6679847558","https://openalex.org/W6684191040","https://openalex.org/W6685316698","https://openalex.org/W6691091272","https://openalex.org/W6691474080","https://openalex.org/W6693399182","https://openalex.org/W6695692787","https://openalex.org/W6697214482","https://openalex.org/W6707425157","https://openalex.org/W6731615046","https://openalex.org/W6758860047"],"related_works":["https://openalex.org/W1551533237","https://openalex.org/W4251536634","https://openalex.org/W2088296667","https://openalex.org/W2059096784","https://openalex.org/W4385261619","https://openalex.org/W2126795708","https://openalex.org/W3158263601","https://openalex.org/W2185281229","https://openalex.org/W2991841680","https://openalex.org/W2790486015"],"abstract_inverted_index":{"One":[0],"major":[1],"assumption":[2,30],"used":[3],"in":[4,34,43,113],"most":[5],"existing":[6],"hashing":[7,50,59,91,112,217],"approaches":[8,212],"is":[9,55,104,147,164],"that":[10],"the":[11,16,66,75,94,124,129,133,142,151,155,159,168,175,183,193,205],"domain":[12,126,135,157],"of":[13,68,74,144,154,170,179,185,192,207],"interest":[14],"(i.e.,":[15],"target":[17,134,160],"domain)":[18],"could":[19,189],"provide":[20],"sufficient":[21],"training":[22],"data,":[23],"either":[24],"labeled":[25],"or":[26],"unlabeled.":[27],"However,":[28],"this":[29,38,188],"may":[31],"be":[32,190],"violated":[33],"practice.":[35],"To":[36,64,139,182],"address":[37],"so-called":[39],"data":[40,96,202],"sparsity":[41,97],"issue":[42,98],"hashing,":[44],"a":[45,81,105,114,119],"new":[46,120],"framework":[47,172],"termed":[48],"transfer":[49,61,90],"with":[51,214],"privileged":[52],"information":[53],"(THPI)":[54],"proposed,":[56],"which":[57,108],"marriages":[58],"and":[60,88,210],"learning":[62],"(TL).":[63],"show":[65,167],"efficacy":[67],"THPI,":[69],"we":[70],"propose":[71],"three":[72],"variants":[73],"well-known":[76],"iterative":[77],"quantization":[78,130],"(ITQ)":[79],"as":[80],"showcase.":[82],"The":[83],"proposed":[84,148,165],"methods,":[85],"ITQ+,":[86,145],"LapITQ+,":[87],"deep":[89,180],"(DTH),":[92],"solve":[93],"aforementioned":[95],"from":[99,123],"different":[100],"aspects.":[101],"Specifically,":[102],"ITQ+":[103,117],"shallow":[106,209],"model,":[107],"makes":[109],"ITQ":[110],"achieve":[111],"TL":[115],"manner.":[116],"learns":[118],"slack":[121],"function":[122],"source":[125,156],"to":[127,166],"approximate":[128],"error":[131],"on":[132,199],"given":[136],"by":[137,149,173],"ITQ.":[138],"further":[140],"improve":[141],"performance":[143],"LapITQ+":[146],"embedding":[150],"geometric":[152],"relationship":[153],"into":[158],"domain.":[161],"Moreover,":[162],"DTH":[163,195,211],"generality":[169],"our":[171,186,208],"utilizing":[174],"powerful":[176],"representative":[177],"capacity":[178],"learning.":[181],"best":[184],"knowledge,":[187],"one":[191],"first":[194],"works.":[196],"Extensive":[197],"experiments":[198],"several":[200,215],"popular":[201],"sets":[203],"demonstrate":[204],"effectiveness":[206],"comparing":[213],"state-of-the-art":[216],"approaches.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":35},{"year":2018,"cited_by_count":24}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
