{"id":"https://openalex.org/W2154567524","doi":"https://doi.org/10.1109/siu.2014.6830178","title":"One-sided best fitting hyperplane classifier","display_name":"One-sided best fitting hyperplane classifier","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2154567524","doi":"https://doi.org/10.1109/siu.2014.6830178","mag":"2154567524"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072358879","display_name":"Hakan \u00c7ev\u0131kalp","orcid":"https://orcid.org/0000-0002-1708-8817"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Cevikalp","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Makine ile \u00d6\u011frenme ve Bilgisayarl\u0131 G\u00f6r\u00fc Laboratuvar\u0131, Eski\u015fehir Osmangazi \u00dcniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Makine ile \u00d6\u011frenme ve Bilgisayarl\u0131 G\u00f6r\u00fc Laboratuvar\u0131, Eski\u015fehir Osmangazi \u00dcniversitesi","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053512336","display_name":"Hasan Serhan Yavuz","orcid":"https://orcid.org/0000-0002-4944-1013"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan Serhan Yavuz","raw_affiliation_strings":["Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Makine ile \u00d6\u011frenme ve Bilgisayarl\u0131 G\u00f6r\u00fc Laboratuvar\u0131, Eski\u015fehir Osmangazi \u00dcniversitesi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elektrik ve Elektronik M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc Makine ile \u00d6\u011frenme ve Bilgisayarl\u0131 G\u00f6r\u00fc Laboratuvar\u0131, Eski\u015fehir Osmangazi \u00dcniversitesi","institution_ids":["https://openalex.org/I51209816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9710999727249146,"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/hyperplane","display_name":"Hyperplane","score":0.9855489730834961},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7141131162643433},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5602973103523254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5432873368263245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5430201888084412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5255105495452881},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3779522478580475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36370450258255005},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09159785509109497}],"concepts":[{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.9855489730834961},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7141131162643433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5602973103523254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5432873368263245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430201888084412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5255105495452881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3779522478580475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36370450258255005},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09159785509109497}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2014.6830178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1625255723","https://openalex.org/W2019184604","https://openalex.org/W2085298065","https://openalex.org/W2090089568","https://openalex.org/W2119821739","https://openalex.org/W2119880843","https://openalex.org/W2120027739","https://openalex.org/W2132425109","https://openalex.org/W2143328598","https://openalex.org/W2163821662","https://openalex.org/W2170860445","https://openalex.org/W4205353205","https://openalex.org/W4206999893","https://openalex.org/W4239510810","https://openalex.org/W6630527977"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2161440356","https://openalex.org/W2383335574","https://openalex.org/W1489507320","https://openalex.org/W233771590","https://openalex.org/W2127616648","https://openalex.org/W2348510359","https://openalex.org/W3121830895","https://openalex.org/W2900686919","https://openalex.org/W2047800684"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,48,66],"new":[6],"hyperplane":[7,19,83],"fitting":[8,20,68,84],"classification":[9,89],"method":[10,79],"that":[11,76],"does":[12],"not":[13],"have":[14],"limitations":[15],"of":[16,27,88],"the":[17,28,97],"existing":[18],"classifiers.":[21],"There":[22],"are":[23,44],"two":[24,58],"principal":[25],"improvements":[26],"proposed":[29,78],"method:":[30],"It":[31],"returns":[32],"sparse":[33],"solutions":[34],"and":[35,91],"it":[36,92],"is":[37],"suitable":[38],"for":[39],"large-scale":[40],"problems.":[41],"Both":[42],"advantages":[43],"accomplished":[45],"by":[46],"using":[47],"simple":[49],"trick,":[50],"which":[51],"constraints":[52],"positive":[53],"samples":[54],"to":[55,63,96],"lie":[56,64],"between":[57],"parallel":[59],"hyperplanes":[60],"rather":[61],"than":[62],"on":[65,72],"single":[67],"hyperplane.":[69],"The":[70],"experiments":[71],"several":[73],"databases":[74],"show":[75],"our":[77],"typically":[80],"outperforms":[81],"other":[82],"classifiers":[85],"in":[86],"terms":[87],"accuracy,":[90],"produces":[93],"comparable":[94],"results":[95],"Support":[98],"Vector":[99],"Machine":[100],"classifier.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}