{"id":"https://openalex.org/W762079460","doi":"https://doi.org/10.1049/el.2014.4483","title":"Support vector data description using privileged information","display_name":"Support vector data description using privileged information","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W762079460","doi":"https://doi.org/10.1049/el.2014.4483","mag":"762079460"},"language":"en","primary_location":{"id":"doi:10.1049/el.2014.4483","doi":"https://doi.org/10.1049/el.2014.4483","is_oa":false,"landing_page_url":"https://doi.org/10.1049/el.2014.4483","pdf_url":null,"source":{"id":"https://openalex.org/S149016011","display_name":"Electronics Letters","issn_l":"0013-5194","issn":["0013-5194","1350-911X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics Letters","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"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/A5100398473","display_name":"Wenbo Zhang","orcid":"https://orcid.org/0000-0003-4672-1420","observed_orcids":["https://orcid.org/0000-0003-4672-1420"]},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbo Zhang","raw_affiliation_strings":["School of Electronic Engineering Xidian University PO BOX 229 Xi'an 710071 People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering Xidian University PO BOX 229 Xi'an 710071 People's Republic of China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100398473"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2590,"currency":"USD","value_usd":2590},"apc_paid":null,"fwci":1.1125,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7859045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":"51","issue":"14","first_page":"1075","last_page":"1076"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5454000234603882,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5454000234603882,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.13369999825954437,"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/T12676","display_name":"Machine Learning and ELM","score":0.0786999985575676,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-data-description","display_name":"support vector data description","score":0.996999979019165},{"id":"https://openalex.org/keywords/privileged-information","display_name":"privileged information","score":0.9819999933242798},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"one-class classification","score":0.9639999866485596},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.9950000047683716},{"id":"https://openalex.org/keywords/radar-emitter-recognition","display_name":"radar emitter recognition","score":0.921999990940094}],"concepts":[{"id":"https://openalex.org/C92087593","wikidata":"https://www.wikidata.org/wiki/Q427389","display_name":"Vector (molecular biology)","level":4,"score":0.554128110408783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5450731515884399},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49448084831237793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39724060893058777},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35734936594963074},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3522011339664459},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3274005055427551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28267455101013184},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15592381358146667},{"id":"https://openalex.org/C40767141","wikidata":"https://www.wikidata.org/wiki/Q285697","display_name":"Recombinant DNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/el.2014.4483","doi":"https://doi.org/10.1049/el.2014.4483","is_oa":false,"landing_page_url":"https://doi.org/10.1049/el.2014.4483","pdf_url":null,"source":{"id":"https://openalex.org/S149016011","display_name":"Electronics Letters","issn_l":"0013-5194","issn":["0013-5194","1350-911X"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronics Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2671391699","display_name":null,"funder_award_id":"61301286","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":7,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W1981966284","https://openalex.org/W2013189015","https://openalex.org/W2014229729","https://openalex.org/W2067562626","https://openalex.org/W2072398821","https://openalex.org/W2084812512"],"related_works":["https://openalex.org/W1981966284","https://openalex.org/W1970088130","https://openalex.org/W2100294832","https://openalex.org/W826547871","https://openalex.org/W141474863","https://openalex.org/W2117329881","https://openalex.org/W4378901613","https://openalex.org/W2127907605","https://openalex.org/W2161725501","https://openalex.org/W2144210805"],"abstract_inverted_index":{"Support":[0],"vector":[1],"data":[2,7,14,83],"description":[3,8,18],"(SVDD)":[4],"is":[5,48,54,95],"a":[6,16,34,73],"method":[9],"which":[10,39,53],"gives":[11],"the":[12,41,45,57,68,86,101],"target":[13],"set":[15,74],"hypersphere\u2010shaped":[17],"and":[19,91,103],"can":[20],"be":[21],"used":[22],"for":[23],"one\u2010class":[24],"classification":[25],"or":[26],"outlier":[27],"detection.":[28],"To":[29],"further":[30],"improve":[31],"its":[32],"performance,":[33],"novel":[35],"SVDD":[36,47,59],"called":[37],"SVDD+":[38,81],"introduces":[40],"privileged":[42,51],"information":[43],"to":[44],"traditional":[46],"proposed.":[49],"This":[50],"information,":[52],"ignored":[55],"by":[56,71],"classical":[58],"but":[60],"often":[61],"exists":[62],"in":[63],"human":[64],"learning,":[65],"will":[66],"optimise":[67],"training":[69],"phase":[70],"constructing":[72],"of":[75,80,105],"correcting":[76],"functions.":[77],"The":[78,97],"performance":[79],"on":[82],"sets":[84],"from":[85],"UCI":[87],"machine":[88],"learning":[89],"repository":[90],"radar":[92],"emitter":[93],"recognition":[94],"demonstrated.":[96],"experimental":[98],"results":[99],"indicate":[100],"validity":[102],"advantage":[104],"this":[106],"method.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2016-06-24T00:00:00"}