{"id":"https://openalex.org/W2072839992","doi":"https://doi.org/10.1109/ijcnn.2014.6889639","title":"A binary feature selection framework in kernel spaces","display_name":"A binary feature selection framework in kernel spaces","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2072839992","doi":"https://doi.org/10.1109/ijcnn.2014.6889639","mag":"2072839992"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889639","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5001698371","display_name":"Chengzhang Zhu","orcid":"https://orcid.org/0000-0003-0495-1981"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhang Zhu","raw_affiliation_strings":["College of Computer National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["College of Computer National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihang Zhou","raw_affiliation_strings":["College of Computer National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699572","display_name":"Qiang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["College of Computer National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089193327","display_name":"Jianping Yin","orcid":"https://orcid.org/0000-0002-5474-4764"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Yin","raw_affiliation_strings":["State Key Lab. of High-Performance Comput., Nat. Univ. of Defense Technol., Changsha, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of High-Performance Comput., Nat. Univ. of Defense Technol., Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.198715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":73},"biblio":{"volume":null,"issue":null,"first_page":"4190","last_page":"4197"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9993,"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/T12676","display_name":"Machine Learning and ELM","score":0.9993,"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":0.9988,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9971,"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/feature-vector","display_name":"Feature vector","score":0.5937956},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5932282},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.55229896},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization","score":0.46760833},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41385996}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.71825653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.645609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.62862426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61790043},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.59442735},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5937956},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5932282},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.585341},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.55229896},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4793773},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.46760833},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46493122},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.45034736},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.44337022},{"id":"https://openalex.org/C16811321","wikidata":"https://www.wikidata.org/wiki/Q17138905","display_name":"Minimum redundancy feature selection","level":3,"score":0.43370575},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41385996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36569005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32841396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27231568},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889639","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":44,"referenced_works":["https://openalex.org/W115301403","https://openalex.org/W1439692053","https://openalex.org/W1607408214","https://openalex.org/W1607660464","https://openalex.org/W1661871015","https://openalex.org/W1769772704","https://openalex.org/W1920328734","https://openalex.org/W1963626514","https://openalex.org/W1970594742","https://openalex.org/W1998846456","https://openalex.org/W2019024625","https://openalex.org/W2021240193","https://openalex.org/W2043420811","https://openalex.org/W2050661272","https://openalex.org/W2068236198","https://openalex.org/W2091795142","https://openalex.org/W2095935284","https://openalex.org/W2104290444","https://openalex.org/W2109248887","https://openalex.org/W2110562878","https://openalex.org/W2111072639","https://openalex.org/W2118561568","https://openalex.org/W2125301736","https://openalex.org/W2126185804","https://openalex.org/W2131534673","https://openalex.org/W2132379769","https://openalex.org/W2135046866","https://openalex.org/W2148603752","https://openalex.org/W2148830179","https://openalex.org/W2150616977","https://openalex.org/W2154053567","https://openalex.org/W2156483112","https://openalex.org/W2158933803","https://openalex.org/W2160540263","https://openalex.org/W2165885026","https://openalex.org/W2166015814","https://openalex.org/W2170005116","https://openalex.org/W2171837816","https://openalex.org/W2579923771","https://openalex.org/W2997701990","https://openalex.org/W3022380717","https://openalex.org/W3105524694","https://openalex.org/W4242292731","https://openalex.org/W4249793958"],"related_works":["https://openalex.org/W2892571874","https://openalex.org/W2544132760","https://openalex.org/W2542234468","https://openalex.org/W2376437597","https://openalex.org/W2152658175","https://openalex.org/W2088032561","https://openalex.org/W206259832","https://openalex.org/W2056283567","https://openalex.org/W1585398011","https://openalex.org/W1565299197"],"abstract_inverted_index":{"In":[0],"this":[1,29],"paper,":[2],"we":[3,107],"propose":[4],"a":[5,22],"binary":[6,23],"feature":[7,15,57,82],"selection":[8,83],"framework":[9,74],"in":[10,28],"kernel":[11,19],"spaces,":[12],"where":[13],"each":[14,50],"is":[16,26,62,103],"projected":[17],"into":[18],"spaces":[20],"and":[21,130],"classification":[24],"task":[25],"constructed":[27],"space.":[30],"Subsequently,":[31],"the":[32,38,42,47,54,65,80,86,92,96,100,114,117,131,134],"features":[33,102],"are":[34],"selected":[35,101],"according":[36],"to":[37,68,79],"normal":[39,66],"vector":[40,67],"of":[41,49,56,94,116,136],"learned":[43],"classifier,":[44],"which":[45,112],"reflects":[46],"importance":[48],"feature.":[51],"To":[52],"achieve":[53],"effect":[55],"selection,":[58],"an":[59],"\u00a3i-norm":[60],"regularization":[61,89],"imposed":[63],"on":[64,125],"enforce":[69],"its":[70],"sparsity.":[71],"Also,":[72],"our":[73,137],"can":[75],"be":[76],"naturally":[77],"extended":[78],"semi-supervised":[81],"scenario":[84],"via":[85],"well-known":[87],"manifold":[88],"technique.":[90],"Furthermore,":[91],"issue":[93],"eliminating":[95],"potential":[97],"redundancy":[98],"among":[99],"well":[104],"discussed.":[105],"Finally,":[106],"provide":[108],"some":[109],"theoretical":[110],"results":[111,132],"guarantee":[113],"feasibility":[115],"proposed":[118],"framework.":[119,138],"Comprehensive":[120],"experiments":[121],"have":[122],"been":[123],"conducted":[124],"six":[126],"benchmark":[127],"data":[128],"sets":[129],"demonstrate":[133],"performance":[135]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2072839992","counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-07T16:14:06.297710","created_date":"2016-06-24"}