{"id":"https://openalex.org/W2158140178","doi":"https://doi.org/10.1145/1076034.1076058","title":"OCFS","display_name":"OCFS","publication_year":2005,"publication_date":"2005-08-15","ids":{"openalex":"https://openalex.org/W2158140178","doi":"https://doi.org/10.1145/1076034.1076058","mag":"2158140178"},"language":"en","primary_location":{"id":"doi:10.1145/1076034.1076058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5030330619","display_name":"Jun Yan","orcid":"https://orcid.org/0000-0003-2497-5518"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yan","raw_affiliation_strings":["Peking University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683584","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0001-7475-9739"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Tsinghua University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053072892","display_name":"Benyu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benyu Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["Chinese University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088372348","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0003-4013-3492"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100853402","display_name":"Qiansheng Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiansheng Cheng","raw_affiliation_strings":["Peking University, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, P. R. China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075964389","display_name":"Weiguo Fan","orcid":"https://orcid.org/0000-0003-1272-5538"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiguo Fan","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Blacksburg, VA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Blacksburg, VA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103733614","display_name":"Wei\u2010Ying Ma","orcid":"https://orcid.org/0000-0002-7384-0735"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Ying Ma","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P. R. China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0264,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.98349814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7384952306747437},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6878079771995544},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6428860425949097},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5737996697425842},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.559567391872406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5491509437561035},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5152609348297119},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5102660655975342},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.50295490026474},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48654642701148987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4794417917728424},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45314228534698486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41394394636154175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38147538900375366},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.3615655303001404},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3045128583908081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1357431411743164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384952306747437},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6878079771995544},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6428860425949097},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5737996697425842},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.559567391872406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5491509437561035},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5152609348297119},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5102660655975342},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.50295490026474},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48654642701148987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4794417917728424},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45314228534698486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41394394636154175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38147538900375366},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3615655303001404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3045128583908081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1357431411743164},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1076034.1076058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","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":30,"referenced_works":["https://openalex.org/W121371952","https://openalex.org/W1493526108","https://openalex.org/W1506281249","https://openalex.org/W1512098439","https://openalex.org/W1604938182","https://openalex.org/W1989344766","https://openalex.org/W2001141328","https://openalex.org/W2015932775","https://openalex.org/W2043772506","https://openalex.org/W2053186076","https://openalex.org/W2061048205","https://openalex.org/W2069769252","https://openalex.org/W2081557347","https://openalex.org/W2102429867","https://openalex.org/W2105055468","https://openalex.org/W2105948726","https://openalex.org/W2134262590","https://openalex.org/W2141188346","https://openalex.org/W2146820706","https://openalex.org/W2148694408","https://openalex.org/W2150102617","https://openalex.org/W2435251607","https://openalex.org/W2560674852","https://openalex.org/W2799061466","https://openalex.org/W2914856469","https://openalex.org/W4205687621","https://openalex.org/W4210531067","https://openalex.org/W4292023222","https://openalex.org/W6630096803","https://openalex.org/W6759199552"],"related_works":["https://openalex.org/W2366793250","https://openalex.org/W2111353337","https://openalex.org/W2371357422","https://openalex.org/W2372663604","https://openalex.org/W1482708182","https://openalex.org/W2328484534","https://openalex.org/W1973637371","https://openalex.org/W2367691850","https://openalex.org/W3023878085","https://openalex.org/W2391234281"],"abstract_inverted_index":{"Text":[0],"categorization":[1],"is":[2,57,110,166,182],"an":[3,118],"important":[4],"research":[5],"area":[6],"in":[7,21,83,136],"many":[8,68],"Information":[9,75],"Retrieval":[10],"(IR)":[11],"applications.":[12],"To":[13],"save":[14],"the":[15,30,55,96,106,126,179],"storage":[16],"space":[17],"and":[18,25,49,85,157,171],"computation":[19,175],"time":[20,176],"text":[22,61],"categorization,":[23],"efficient":[24,119],"effective":[26],"algorithms":[27],"for":[28,39,60],"reducing":[29],"data":[31,62,108,162],"before":[32],"analysis":[33],"are":[34,80],"highly":[35],"desired.":[36],"Traditional":[37],"techniques":[38,72],"this":[40,114],"purpose":[41],"can":[42],"generally":[43],"be":[44,89,103],"classified":[45],"into":[46],"feature":[47,50,70,121],"extraction":[48],"selection.":[51],"Because":[52],"of":[53,98,129],"efficiency,":[54],"latter":[56],"more":[58],"suitable":[59],"such":[63,73],"as":[64,74],"web":[65],"documents.":[66],"However,":[67],"popular":[69],"selection":[71,122],"Gain":[76],"(IG)":[77],"and\u03c72-test":[78],"(CHI)":[79],"all":[81],"greedy":[82,100],"nature":[84],"thus":[86],"may":[87,102],"not":[88],"optimal":[90,120],"according":[91],"to":[92],"some":[93],"criterion.":[94],"Moreover,":[95],"performance":[97],"these":[99],"methods":[101],"deteriorated":[104],"when":[105,178],"reserved":[107],"dimension":[109,181],"extremely":[111,183],"low.":[112],"In":[113],"paper,":[115],"we":[116],"propose":[117],"algorithm":[123,135],"by":[124],"optimizing":[125],"objective":[127],"function":[128],"Orthogonal":[130,142],"Centroid":[131,143],"(OC)":[132],"subspace":[133],"learning":[134],"a":[137],"discrete":[138],"solution":[139],"space,":[140],"called":[141],"Feature":[144],"Selection":[145],"(OCFS).":[146],"Experiments":[147],"on":[148],"20":[149],"Newsgroups":[150],"(20NG),":[151],"Reuters":[152],"Corpus":[153],"Volume":[154],"1":[155],"(RCV1)":[156],"Open":[158],"Directory":[159],"Project":[160],"(ODP)":[161],"show":[163],"that":[164],"OCFS":[165],"consistently":[167],"better":[168],"than":[169],"IG":[170],"CHI":[172],"with":[173],"smaller":[174],"especially":[177],"reduced":[180],"small.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}