{"id":"https://openalex.org/W2793454490","doi":"https://doi.org/10.1109/vcip.2017.8305090","title":"Supervised hashing with extreme learning machine","display_name":"Supervised hashing with extreme learning machine","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2793454490","doi":"https://doi.org/10.1109/vcip.2017.8305090","mag":"2793454490"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-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/A5042100540","display_name":"Tongtong Yuan","orcid":"https://orcid.org/0000-0002-8224-9891"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongtong Yuan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025452586","display_name":"Weihong Deng","orcid":"https://orcid.org/0000-0001-5952-6996"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihong Deng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063224243","display_name":"Jiani Hu","orcid":"https://orcid.org/0000-0002-2928-3169"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiani Hu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042100540"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7280461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8032557964324951},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.7796880006790161},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6950150728225708},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6630988121032715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6349987387657166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5597732663154602},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5172465443611145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4834643006324768},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.47939443588256836},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4728665053844452},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.42529216408729553},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3552570343017578},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21227794885635376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0926942229270935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08558371663093567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8032557964324951},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.7796880006790161},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6950150728225708},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6630988121032715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6349987387657166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5597732663154602},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5172465443611145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4834643006324768},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.47939443588256836},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4728665053844452},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.42529216408729553},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3552570343017578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21227794885635376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0926942229270935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08558371663093567},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/vcip.2017.8305090","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305090","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W269471817","https://openalex.org/W401986301","https://openalex.org/W1502916507","https://openalex.org/W1566135517","https://openalex.org/W1910300841","https://openalex.org/W1943357268","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2026131661","https://openalex.org/W2034198076","https://openalex.org/W2040918046","https://openalex.org/W2061065224","https://openalex.org/W2066276674","https://openalex.org/W2074668987","https://openalex.org/W2111072639","https://openalex.org/W2143321506","https://openalex.org/W2292992741","https://openalex.org/W2512656107","https://openalex.org/W6609916571","https://openalex.org/W6629956336","https://openalex.org/W6640518647","https://openalex.org/W6696891034"],"related_works":["https://openalex.org/W2088296667","https://openalex.org/W2963758661","https://openalex.org/W2752930373","https://openalex.org/W2036753599","https://openalex.org/W3202167984","https://openalex.org/W2963839334","https://openalex.org/W2797819729","https://openalex.org/W2659943647","https://openalex.org/W2949049896","https://openalex.org/W4297909034"],"abstract_inverted_index":{"Supervised":[0],"hashing":[1,39,64],"methods,":[2],"which":[3],"aim":[4],"to":[5,14,31,51,91,119],"generate":[6,74],"semantic":[7],"similarity-preserving":[8],"binary":[9,24,33,106],"codes,":[10],"have":[11,41,115],"been":[12],"proposed":[13],"improve":[15],"the":[16,32,44,47,75,87,93],"performance":[17],"of":[18,46,85],"large-scale":[19],"image":[20],"retrieval.":[21],"However,":[22],"learning":[23,69,83],"codes":[25,107],"remains":[26],"an":[27],"NP-hard":[28],"problem":[29],"due":[30],"constraints":[34],"and":[35,108],"complex":[36],"computation.":[37],"Existing":[38],"methods":[40],"never":[42],"explored":[43],"potentiality":[45],"label":[48,89,99],"information,":[49],"leading":[50],"a":[52,61],"limited":[53],"performance.":[54],"To":[55],"address":[56],"these":[57],"problems,":[58],"we":[59,73],"propose":[60],"simple":[62],"supervised":[63,76],"method":[65,102],"based":[66],"on":[67],"extreme":[68],"machine":[70],"(ELM).":[71],"And":[72],"information":[77],"in":[78],"ELM":[79],"by":[80],"target":[81],"code":[82,90],"instead":[84],"using":[86],"traditional":[88],"fit":[92],"retrieval":[94,111],"problem.":[95],"With":[96],"this":[97],"modified":[98],"code,":[100],"our":[101,117],"can":[103],"produce":[104],"high-quality":[105],"obtain":[109],"high":[110],"precision.":[112],"Comprehensive":[113],"experiments":[114],"shown":[116],"superiority":[118],"other":[120],"state-of-the-art":[121],"methods.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
