{"id":"https://openalex.org/W2135159797","doi":"https://doi.org/10.1109/icpr.2008.4761815","title":"Pre-extracting method for SVM classification based on the non-parametric K-NN rule","display_name":"Pre-extracting method for SVM classification based on the non-parametric K-NN rule","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2135159797","doi":"https://doi.org/10.1109/icpr.2008.4761815","mag":"2135159797"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5024649502","display_name":"Deqiang Han","orcid":"https://orcid.org/0000-0001-5603-796X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Han","raw_affiliation_strings":["Institute of Integrated Automation, Xi'an Jiaotong University, China","Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Integrated Automation, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108441514","display_name":"Chongzhao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongzhao Han","raw_affiliation_strings":["Institute of Integrated Automation, Xi'an Jiaotong University, China","Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Integrated Automation, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052533101","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-3233-0907"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Institute of Integrated Automation, Xi'an Jiaotong University, China","Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Integrated Automation, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072744355","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-0075-1125"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Institute of Integrated Automation, Xi'an Jiaotong University, China","Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Integrated Automation, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Inst. of Integrated Autom., Xian Jiaotong Univ., Xian, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033586311","display_name":"Wentao Mao","orcid":"https://orcid.org/0000-0001-5335-9517"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Mao","raw_affiliation_strings":["MOE Key Lab of Strength and Vibration, Xi'an Jiaotong University, China","MOE Key Lab. of Strength & Vibration, Xian Jiaotong Univ., Xian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MOE Key Lab of Strength and Vibration, Xi'an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"MOE Key Lab. of Strength & Vibration, Xian Jiaotong Univ., Xian, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8282,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80003557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9909999966621399,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9879000186920166,"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-machine","display_name":"Support vector machine","score":0.8881712555885315},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6956595778465271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6911906599998474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719954609870911},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6259959936141968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6175691485404968},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5724396705627441},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48394277691841125},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.44398483633995056},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.4140547811985016},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41060739755630493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3515438437461853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20641842484474182},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07708975672721863}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8881712555885315},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6956595778465271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6911906599998474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719954609870911},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6259959936141968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6175691485404968},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5724396705627441},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48394277691841125},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.44398483633995056},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.4140547811985016},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41060739755630493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3515438437461853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20641842484474182},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07708975672721863},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1512098439","https://openalex.org/W1596717185","https://openalex.org/W1995558350","https://openalex.org/W2033114537","https://openalex.org/W2084812512","https://openalex.org/W2102899970","https://openalex.org/W2108995755","https://openalex.org/W2117812871","https://openalex.org/W2127406992","https://openalex.org/W2156909104","https://openalex.org/W2159325322","https://openalex.org/W2160248672","https://openalex.org/W2163227453","https://openalex.org/W2544762930","https://openalex.org/W3112020351","https://openalex.org/W6630527977"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2186666570","https://openalex.org/W2683383161","https://openalex.org/W4247599326","https://openalex.org/W2104936869","https://openalex.org/W2143867687","https://openalex.org/W4253128984","https://openalex.org/W2384390720","https://openalex.org/W2565312173","https://openalex.org/W2357114597"],"abstract_inverted_index":{"With":[0],"the":[1,4,8,47,63,68,75,86,90,93],"increase":[2],"of":[3,10],"training":[5,69,81],"set\u00bfs":[6,82],"size,":[7],"efficiency":[9],"support":[11,40],"vector":[12],"machine":[13],"(SVM)":[14],"classifier":[15],"will":[16],"be":[17],"confined.":[18],"To":[19],"solve":[20],"such":[21],"a":[22,24,52],"problem,":[23],"novel":[25],"pre-extracting":[26],"method":[27],"for":[28],"SVM":[29,37],"classification":[30,94],"is":[31],"proposed":[32,77],"in":[33],"this":[34],"paper.":[35],"In":[36],"classification,":[38],"only":[39],"vectors":[41],"(SVs)":[42],"have":[43],"significant":[44],"influence":[45],"on":[46],"optimization":[48],"result.":[49],"We":[50],"adopt":[51],"non-parametric":[53],"k-NN":[54],"rule":[55],"called":[56],"relative":[57],"neighborhood":[58],"graph":[59],"(RNG)":[60],"to":[61],"extract":[62],"probable":[64],"SVs":[65],"from":[66],"all":[67],"samples.":[70],"Experimental":[71],"results":[72],"verify":[73],"that":[74],"approach":[76],"can":[78],"effectively":[79],"reduce":[80],"size":[83],"and":[84],"accelerate":[85],"learning":[87],"speed.":[88],"At":[89],"same":[91],"time,":[92],"accuracies":[95],"are":[96],"still":[97],"competitive.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
