{"id":"https://openalex.org/W2117543393","doi":"https://doi.org/10.1109/icsmc.2009.5346047","title":"IPCM separability ratio for supervised feature selection","display_name":"IPCM separability ratio for supervised feature selection","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2117543393","doi":"https://doi.org/10.1109/icsmc.2009.5346047","mag":"2117543393"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W. Y. Ng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335043","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-5901-9019"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Department of Computer Science and Tech, Shenzhen Graduate School, Harbin Institute of Technology, China","Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Tech, Shenzhen Graduate School, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China#TAB#","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006543313","display_name":"Daniel Yeung","orcid":"https://orcid.org/0000-0001-9397-8865"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daniel S. Yeung","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Computer Science & Engineering, South China University of Technology, Guangzhou, China#TAB#","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15234681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9894999861717224,"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":0.9824000000953674,"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/margin","display_name":"Margin (machine learning)","score":0.8081031441688538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7480734586715698},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7120360732078552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711595058441162},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6644237637519836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.599319577217102},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5721726417541504},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5200971364974976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.507972776889801},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4808795750141144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3876305818557739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09746021032333374}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8081031441688538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7480734586715698},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7120360732078552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711595058441162},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6644237637519836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.599319577217102},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5721726417541504},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5200971364974976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.507972776889801},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4808795750141144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3876305818557739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09746021032333374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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":31,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1554663460","https://openalex.org/W1578099820","https://openalex.org/W1971476226","https://openalex.org/W2000762656","https://openalex.org/W2001169470","https://openalex.org/W2014915963","https://openalex.org/W2017337590","https://openalex.org/W2025357764","https://openalex.org/W2040884411","https://openalex.org/W2043420811","https://openalex.org/W2084812512","https://openalex.org/W2098515641","https://openalex.org/W2103560185","https://openalex.org/W2115729631","https://openalex.org/W2119479037","https://openalex.org/W2123921160","https://openalex.org/W2132914434","https://openalex.org/W2134478553","https://openalex.org/W2149620660","https://openalex.org/W2149772057","https://openalex.org/W2154053567","https://openalex.org/W2164495906","https://openalex.org/W2171604354","https://openalex.org/W2612166593","https://openalex.org/W2799061466","https://openalex.org/W4205687621","https://openalex.org/W4235239134","https://openalex.org/W4244055225","https://openalex.org/W4285719527","https://openalex.org/W6681822384"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2561617217","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2979236518","https://openalex.org/W2358318464"],"abstract_inverted_index":{"Collecting":[0],"data":[1],"is":[2,40,60],"very":[3],"easy":[4],"now":[5],"owing":[6],"to":[7,24,42,72,112],"fast":[8],"computers":[9],"and":[10],"ease":[11],"of":[12,19,22,75],"Internet":[13],"access.":[14],"It":[15],"raises":[16],"the":[17,20,64,73,89,96],"problem":[18],"curse":[21],"dimensionality":[23],"supervised":[25,68,76],"classification":[26,48,69,77],"problems.":[27,49,70],"In":[28,50],"our":[29],"previous":[30],"work,":[31,52],"an":[32],"Intra-Prototype":[33,98],"/":[34,99],"Inter-Class":[35],"Separability":[36,102],"Ratio":[37,103],"(IPICSR)":[38],"model":[39,59,66],"proposed":[41,61],"select":[43],"relevant":[44],"features":[45],"for":[46,67],"semi-supervised":[47],"this":[51,93],"a":[53,79],"new":[54,97],"margin":[55,84],"based":[56,62],"feature":[57],"selection":[58],"on":[63],"IPICSR":[65],"Owing":[71],"nature":[74],"problems,":[78],"more":[80],"accurate":[81],"class":[82],"separating":[83],"could":[85],"be":[86],"found":[87],"by":[88],"classifier.":[90],"We":[91],"adopt":[92],"advantage":[94],"in":[95],"Class":[100],"Margin":[101],"(IPCMSR)":[104],"model.":[105],"Experimental":[106],"results":[107],"are":[108],"promising":[109],"when":[110],"compared":[111],"several":[113],"existing":[114],"methods":[115],"using":[116],"4":[117],"UCI":[118],"datasets.":[119]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}