{"id":"https://openalex.org/W2293774679","doi":"https://doi.org/10.1109/tkde.2015.2507127","title":"A Mixed Generative-Discriminative Based Hashing Method","display_name":"A Mixed Generative-Discriminative Based Hashing Method","publication_year":2015,"publication_date":"2015-12-10","ids":{"openalex":"https://openalex.org/W2293774679","doi":"https://doi.org/10.1109/tkde.2015.2507127","mag":"2293774679"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2507127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2507127","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322887","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0003-1029-9280"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550087","display_name":"Jin Qian","orcid":"https://orcid.org/0000-0001-5617-696X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Qian","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088834359","display_name":"Xuanjing Huang","orcid":"https://orcid.org/0000-0001-9197-9426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanjing Huang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100360407"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.15563968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"4","first_page":"845","last_page":"857"},"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":0.9987000226974487,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996399998664856,"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":0.8791626691818237},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6220260262489319},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6147642135620117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.600374162197113},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.509757936000824},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46951693296432495},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45041462779045105},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4445725381374359},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4226142466068268},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41859501600265503},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4117230772972107},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4043048620223999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3653547465801239},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1694352626800537}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8791626691818237},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6220260262489319},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6147642135620117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.600374162197113},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.509757936000824},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46951693296432495},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45041462779045105},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4445725381374359},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4226142466068268},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41859501600265503},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4117230772972107},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4043048620223999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3653547465801239},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1694352626800537},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2015.2507127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2507127","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1979465396","display_name":null,"funder_award_id":"61472088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2711593179","display_name":null,"funder_award_id":"61473092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3892115987","display_name":null,"funder_award_id":"61532011","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W145476170","https://openalex.org/W154472438","https://openalex.org/W179875071","https://openalex.org/W199018803","https://openalex.org/W1468978781","https://openalex.org/W1566135517","https://openalex.org/W1573082642","https://openalex.org/W1586730761","https://openalex.org/W1591455229","https://openalex.org/W1596986901","https://openalex.org/W1614298861","https://openalex.org/W1676494021","https://openalex.org/W1835419070","https://openalex.org/W1905882502","https://openalex.org/W1963887029","https://openalex.org/W1969732194","https://openalex.org/W1974647172","https://openalex.org/W1976258951","https://openalex.org/W1977073624","https://openalex.org/W1977729554","https://openalex.org/W1981367467","https://openalex.org/W1981613567","https://openalex.org/W1996219872","https://openalex.org/W2007972815","https://openalex.org/W2049993534","https://openalex.org/W2050867701","https://openalex.org/W2064797228","https://openalex.org/W2067432306","https://openalex.org/W2067438047","https://openalex.org/W2070115542","https://openalex.org/W2086958058","https://openalex.org/W2087946919","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2103305545","https://openalex.org/W2105572632","https://openalex.org/W2109025268","https://openalex.org/W2109803107","https://openalex.org/W2112193096","https://openalex.org/W2113459411","https://openalex.org/W2122428150","https://openalex.org/W2124386111","https://openalex.org/W2130325614","https://openalex.org/W2132069633","https://openalex.org/W2138806976","https://openalex.org/W2148578434","https://openalex.org/W2148885851","https://openalex.org/W2153180170","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2163605009","https://openalex.org/W2164019165","https://openalex.org/W2164338181","https://openalex.org/W2164587673","https://openalex.org/W2166473218","https://openalex.org/W2167302605","https://openalex.org/W2169900850","https://openalex.org/W2184188583","https://openalex.org/W2203543769","https://openalex.org/W2221852422","https://openalex.org/W2255038316","https://openalex.org/W2293597654","https://openalex.org/W2618530766","https://openalex.org/W2963214665","https://openalex.org/W2964126306","https://openalex.org/W2998704965","https://openalex.org/W4212810988","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4396952261","https://openalex.org/W6605963037","https://openalex.org/W6607333740","https://openalex.org/W6608183366","https://openalex.org/W6628464587","https://openalex.org/W6635099914","https://openalex.org/W6635397193","https://openalex.org/W6635815790","https://openalex.org/W6636510571","https://openalex.org/W6637028002","https://openalex.org/W6639809013","https://openalex.org/W6675525543","https://openalex.org/W6676039682","https://openalex.org/W6676984168","https://openalex.org/W6680525667","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6683557909","https://openalex.org/W6684116732","https://openalex.org/W6684165356","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6686207219","https://openalex.org/W6688143368","https://openalex.org/W6688844344","https://openalex.org/W6692019673","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2093104230","https://openalex.org/W2987280934","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W4365211920","https://openalex.org/W2128027845","https://openalex.org/W3014948380","https://openalex.org/W4386184937","https://openalex.org/W4241564561"],"abstract_inverted_index":{"Hashing":[0],"methods":[1,44],"have":[2,13,23,55],"proven":[3],"to":[4,26,45,92,108,163],"be":[5,64],"useful":[6],"for":[7],"a":[8,42,79,103],"variety":[9],"of":[10,37,119,157,168],"tasks":[11],"and":[12,32,101],"attracted":[14],"extensive":[15],"attention":[16],"in":[17,67,74,137],"recent":[18],"years.":[19],"Various":[20],"hashing":[21,85,171],"approaches":[22],"been":[24],"proposed":[25,121,126,145,159],"capture":[27,93],"similarities":[28,61],"between":[29,112],"textual,":[30],"visual,":[31],"cross-media":[33,84,132],"information.":[34,48],"However,":[35],"most":[36],"the":[38,94,98,110,117,120,125,144,155,158],"existing":[39],"works":[40],"use":[41,102],"bag-of-words":[43],"represent":[46],"textual":[47,95],"Since":[49],"words":[50],"with":[51],"different":[52,113],"forms":[53],"may":[54],"similar":[56],"meaning,":[57],"semantic":[58,83,99],"level":[59,100],"text":[60],"can":[62],"not":[63],"well":[65],"processed":[66],"these":[68,72],"methods.":[69,172],"To":[70,115],"address":[71],"challenges,":[73],"this":[75,138],"paper,":[76],"we":[77,123],"propose":[78],"novel":[80],"method":[81,127,146,160],"called":[82],"(SCMH),":[86],"which":[87],"uses":[88],"continuous":[89],"word":[90],"representations":[91],"similarity":[96],"at":[97],"deep":[104],"belief":[105],"network":[106],"(DBN)":[107],"construct":[109],"correlation":[111],"modalities.":[114],"demonstrate":[116],"effectiveness":[118],"method,":[122],"evaluate":[124],"on":[128],"three":[129],"commonly":[130],"used":[131,136],"data":[133],"sets":[134],"are":[135],"work.":[139],"Experimental":[140],"results":[141],"show":[142],"that":[143,167],"achieves":[147],"significantly":[148],"better":[149,165],"performance":[150],"than":[151,166],"state-of-the-art":[152],"approaches.":[153],"Moreover,":[154],"efficiency":[156],"is":[161],"comparable":[162],"or":[164],"some":[169],"other":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
