{"id":"https://openalex.org/W3040948901","doi":"https://doi.org/10.1109/lsp.2020.3008335","title":"Efficient Parameter-Free Adaptive Multi-Modal Hashing","display_name":"Efficient Parameter-Free Adaptive Multi-Modal Hashing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3040948901","doi":"https://doi.org/10.1109/lsp.2020.3008335","mag":"3040948901"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3008335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3008335","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-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/A5035746511","display_name":"C. Zheng","orcid":"https://orcid.org/0000-0002-6799-5212"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaoqun Zheng","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763847","display_name":"Shusen Zhang","orcid":"https://orcid.org/0000-0003-4013-5754"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusen Zhang","raw_affiliation_strings":["Westa College, Southwestern University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Westa College, Southwestern University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113755120","display_name":"Huaxiang Zhang","orcid":"https://orcid.org/0000-0001-6259-7533"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxiang Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035746511"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":null,"apc_paid":null,"fwci":1.8563,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.8787726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"1270","last_page":"1274"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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":0.9871000051498413,"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":0.7923691868782043},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7149797677993774},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6112872362136841},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5074416995048523},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5048461556434631},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.49864912033081055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4595573842525482},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.41805756092071533},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40483808517456055},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4008132517337799},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3897411525249481},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.31149107217788696},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.3002680540084839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10126155614852905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923691868782043},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7149797677993774},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6112872362136841},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5074416995048523},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5048461556434631},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.49864912033081055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4595573842525482},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.41805756092071533},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40483808517456055},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4008132517337799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3897411525249481},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.31149107217788696},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.3002680540084839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10126155614852905},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"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/lsp.2020.3008335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3008335","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1763743730","display_name":null,"funder_award_id":"U1836216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2806670210","display_name":null,"funder_award_id":"61802236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3325856545","display_name":null,"funder_award_id":"ZR2019QF002","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7009357455","display_name":null,"funder_award_id":"61772322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8827687372","display_name":null,"funder_award_id":"ts20190924","funder_id":"https://openalex.org/F4320326189","funder_display_name":"Taishan Scholar Project of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W199018803","https://openalex.org/W1861492603","https://openalex.org/W1910300841","https://openalex.org/W1974647172","https://openalex.org/W2007972815","https://openalex.org/W2025432722","https://openalex.org/W2079202281","https://openalex.org/W2093932377","https://openalex.org/W2134514757","https://openalex.org/W2142881874","https://openalex.org/W2155803963","https://openalex.org/W2167451801","https://openalex.org/W2266728343","https://openalex.org/W2526428212","https://openalex.org/W2591669147","https://openalex.org/W2604298190","https://openalex.org/W2620123979","https://openalex.org/W2620666060","https://openalex.org/W2793456900","https://openalex.org/W2805087257","https://openalex.org/W2891193211","https://openalex.org/W2955273087","https://openalex.org/W2963634791","https://openalex.org/W2981076146","https://openalex.org/W2982065678","https://openalex.org/W2996002873","https://openalex.org/W3008014442","https://openalex.org/W4292023222","https://openalex.org/W6608183366","https://openalex.org/W6681077227","https://openalex.org/W6736352116"],"related_works":["https://openalex.org/W102859714","https://openalex.org/W2044784665","https://openalex.org/W2333289748","https://openalex.org/W1994360333","https://openalex.org/W2094127768","https://openalex.org/W2334522381","https://openalex.org/W2076162755","https://openalex.org/W2000284985","https://openalex.org/W2016576449","https://openalex.org/W2084899141"],"abstract_inverted_index":{"Unsupervised":[0],"multi-modal":[1,108],"hashing":[2],"has":[3],"recently":[4],"attracted":[5],"broad":[6],"attention":[7],"in":[8],"research":[9],"area":[10],"of":[11,33,41,51,107,144],"large-scale":[12],"multimedia":[13,149],"retrieval":[14,21,150],"for":[15],"its":[16],"low":[17,42],"storage":[18],"cost,":[19],"high":[20],"speed,":[22],"and":[23,102,124,133,155],"independence":[24],"on":[25,146],"semantic":[26],"labels.":[27],"However,":[28],"the":[29,39,49,99,104,111,119,129,135,141],"model":[30,95,136],"learning":[31,137],"process":[32],"existing":[34,46,72],"methods":[35,47,73],"still":[36],"suffer":[37],"from":[38],"problem":[40],"efficiency:":[43],"1)":[44],"Many":[45],"measure":[48],"contributions":[50],"different":[52],"modalities":[53],"using":[54],"fixed":[55],"modality":[56,100],"weights.":[57],"In":[58,82],"order":[59],"to":[60,78,96],"avoid":[61],"over-fitting,":[62],"they":[63],"need":[64],"an":[65,87],"inefficient":[66,75],"hyper-parameter":[67],"adjustment":[68],"process.":[69],"2)":[70],"Most":[71],"adopt":[74],"optimization":[76],"strategies":[77],"learn":[79,118],"hash":[80,113],"codes.":[81,114],"this":[83],"letter,":[84],"we":[85,116],"propose":[86],"unsupervised":[88],"Efficient":[89],"Parameter-free":[90],"Adaptive":[91],"Multi-modal":[92],"Hashing":[93],"(EPAMH)":[94],"adaptively":[97],"capture":[98],"variations":[101],"preserve":[103],"discriminative":[105],"semantics":[106],"features":[109],"into":[110],"binary":[112,120],"Moreover,":[115],"directly":[117],"codes":[121,154],"with":[122],"simple":[123],"efficient":[125],"operations,":[126],"which":[127],"prevents":[128],"relaxing":[130],"quantization":[131],"errors":[132],"improves":[134],"efficiency.":[138],"Experiments":[139],"prove":[140],"superior":[142],"performance":[143],"EPAMH":[145],"three":[147],"public":[148],"datasets.":[151],"Our":[152],"source":[153],"testing":[156],"datasets":[157],"can":[158],"be":[159],"obtained":[160],"at":[161],"https://github.com/ChaoqunZheng/EPAMH.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}