{"id":"https://openalex.org/W3111801553","doi":"https://doi.org/10.1109/tcyb.2020.3032017","title":"Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval","display_name":"Scalable Discrete Matrix Factorization and Semantic Autoencoder for Cross-Media Retrieval","publication_year":2020,"publication_date":"2020-12-17","ids":{"openalex":"https://openalex.org/W3111801553","doi":"https://doi.org/10.1109/tcyb.2020.3032017","mag":"3111801553","pmid":"https://pubmed.ncbi.nlm.nih.gov/33326392"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.3032017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3032017","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5101658131","display_name":"Donglin Zhang","orcid":"https://orcid.org/0000-0002-0716-0918"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donglin Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0716-0918","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087450445","display_name":"Xiao\u2010Jun Wu","orcid":"https://orcid.org/0000-0002-0310-5778"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jun Wu","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-5778","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":1.86,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.88227896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"52","issue":"7","first_page":"5947","last_page":"5960"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9940999746322632,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.993399977684021,"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/hash-function","display_name":"Hash function","score":0.7447634935379028},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7195801138877869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682959794998169},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5088605880737305},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.48176810145378113},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.464999794960022},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43773290514945984},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4345693290233612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42375585436820984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4036506414413452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37852123379707336},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.37223106622695923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2742435336112976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15869247913360596},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07538154721260071},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07439121603965759}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7447634935379028},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7195801138877869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682959794998169},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5088605880737305},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.48176810145378113},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.464999794960022},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43773290514945984},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4345693290233612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42375585436820984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4036506414413452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37852123379707336},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.37223106622695923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2742435336112976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15869247913360596},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07538154721260071},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07439121603965759},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.3032017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.3032017","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33326392","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33326392","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G344950217","display_name":null,"funder_award_id":"U1836218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5081062661","display_name":null,"funder_award_id":"62020106012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6905154729","display_name":"\u7a00\u758f\u4f4e\u79e9\u8868\u793a\u4f18\u5316\u7406\u8bba\u4e0e\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672265","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1575736368","https://openalex.org/W1910300841","https://openalex.org/W1922199343","https://openalex.org/W1923967535","https://openalex.org/W1970055505","https://openalex.org/W1974647172","https://openalex.org/W1976258951","https://openalex.org/W1980807298","https://openalex.org/W1985417744","https://openalex.org/W2007972815","https://openalex.org/W2035517574","https://openalex.org/W2054617313","https://openalex.org/W2060300932","https://openalex.org/W2074668987","https://openalex.org/W2086958058","https://openalex.org/W2106277773","https://openalex.org/W2110764733","https://openalex.org/W2145065594","https://openalex.org/W2155803963","https://openalex.org/W2162006472","https://openalex.org/W2162881463","https://openalex.org/W2171790913","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2282231212","https://openalex.org/W2324277894","https://openalex.org/W2345649690","https://openalex.org/W2412709527","https://openalex.org/W2512032049","https://openalex.org/W2513342512","https://openalex.org/W2588651547","https://openalex.org/W2591669147","https://openalex.org/W2593190442","https://openalex.org/W2598003564","https://openalex.org/W2611632661","https://openalex.org/W2614818206","https://openalex.org/W2624945720","https://openalex.org/W2738662130","https://openalex.org/W2739103128","https://openalex.org/W2739130108","https://openalex.org/W2748725735","https://openalex.org/W2752674409","https://openalex.org/W2752930373","https://openalex.org/W2755721434","https://openalex.org/W2763874937","https://openalex.org/W2765440071","https://openalex.org/W2781821509","https://openalex.org/W2788444646","https://openalex.org/W2795389793","https://openalex.org/W2798762763","https://openalex.org/W2800086785","https://openalex.org/W2802864907","https://openalex.org/W2896038883","https://openalex.org/W2900802124","https://openalex.org/W2907166662","https://openalex.org/W2962856082","https://openalex.org/W2963087710","https://openalex.org/W2963173190","https://openalex.org/W2963187862","https://openalex.org/W2964081303","https://openalex.org/W2971949219","https://openalex.org/W2979667596","https://openalex.org/W3120740533","https://openalex.org/W6608183366","https://openalex.org/W6676231525","https://openalex.org/W6681077227","https://openalex.org/W6684115544","https://openalex.org/W6693399182","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W4386294643","https://openalex.org/W2510680828","https://openalex.org/W2088296667","https://openalex.org/W2963758661"],"abstract_inverted_index":{"Hashing":[0],"methods":[1,18,56],"have":[2],"sparked":[3],"great":[4],"attention":[5],"on":[6,155,236],"multimedia":[7],"tasks":[8],"due":[9],"to":[10,94,164,172,184,220],"their":[11],"effectiveness":[12],"and":[13,74,136,177,204,211,242],"efficiency.":[14],"However,":[15],"most":[16,35],"existing":[17],"generate":[19],"binary":[20,25,116,231],"codes":[21,117,139],"by":[22,43,121,175,189],"relaxing":[23],"the":[24,40,60,85,88,96,100,106,111,115,122,137,145,156,167,178,185,190,196,202,216,221],"constraints,":[26],"which":[27,50],"may":[28],"cause":[29],"large":[30,132],"quantization":[31],"error.":[32],"In":[33,84,144],"addition,":[34],"supervised":[36],"cross-modal":[37],"approaches":[38],"preserve":[39,200],"similarity":[41,48,112,134],"relationship":[42],"constructing":[44],"an":[45],"n\u00d7n":[46,133],"large-size":[47],"matrix,":[49,135],"requires":[51],"huge":[52],"computation,":[53],"making":[54],"these":[55],"unscalable.":[57],"To":[58],"address":[59],"above":[61],"challenges,":[62],"this":[63],"article":[64],"presents":[65],"a":[66,81,131,148],"novel":[67,149],"algorithm,":[68],"called":[69],"scalable":[70],"discrete":[71],"matrix":[72,89,102],"factorization":[73,90],"semantic":[75,98,203],"autoencoder":[76,157],"method":[77],"(SDMSA).":[78],"SDMSA":[79,217],"is":[80,92,103,158],"two-stage":[82],"method.":[83],"first":[86],"stage,":[87,147],"scheme":[91,153,194],"utilized":[93],"learn":[95,165],"latent":[97,123],"information,":[99],"label":[101],"incorporated":[104],"into":[105],"loss":[107],"function":[108,151],"instead":[109],"of":[110,223],"matrix.":[113],"Thereafter,":[114],"can":[118,128,140,198,226],"be":[119,141],"generated":[120,142],"representations.":[124],"During":[125],"optimization,":[126],"we":[127,225],"avoid":[129],"manipulating":[130],"hash":[138,150,232],"directly.":[143],"second":[146],"learning":[152],"based":[154],"proposed.":[159],"The":[160,192],"encoder-decoder":[161,193],"paradigm":[162],"aims":[163],"projections,":[166],"feature":[168,187,205],"vectors":[169,174,180,188],"are":[170,181,213],"projected":[171,182],"code":[173,179],"encoder,":[176],"back":[183],"original":[186],"decoder.":[191],"ensures":[195],"embedding":[197],"well":[199],"both":[201],"information.":[206],"Specifically,":[207],"two":[208],"algorithms":[209],"SDMSA-lin":[210,241],"SDMSA-ker":[212,243],"developed":[214],"under":[215],"framework.":[218],"Owing":[219],"merit":[222],"SDMSA,":[224],"get":[227],"more":[228],"semantically":[229],"meaningful":[230],"codes.":[233],"Extensive":[234],"experiments":[235],"several":[237],"databases":[238],"show":[239],"that":[240],"achieve":[244],"promising":[245],"performance.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}