{"id":"https://openalex.org/W1969036743","doi":"https://doi.org/10.1109/ijcnn.2014.6889366","title":"Data dimensionality reduction approach to improve feature selection performance using sparsified SVD","display_name":"Data dimensionality reduction approach to improve feature selection performance using sparsified SVD","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1969036743","doi":"https://doi.org/10.1109/ijcnn.2014.6889366","mag":"1969036743"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5044355627","display_name":"Pengpeng Lin","orcid":"https://orcid.org/0000-0001-9693-0656"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pengpeng Lin","raw_affiliation_strings":["Computer Science Department, University of Kentucky, Lexington, USA","Comput. Sci. Dept., Univ. of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Kentucky, Lexington, USA","institution_ids":["https://openalex.org/I143302722"]},{"raw_affiliation_string":"Comput. Sci. Dept., Univ. of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Computer Science Department, University of Kentucky, Lexington, KY, USA","Comput. Sci. Dept., Univ. of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]},{"raw_affiliation_string":"Comput. Sci. Dept., Univ. of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319295","display_name":"Ran An","orcid":"https://orcid.org/0000-0003-1553-5326"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran An","raw_affiliation_strings":["Department of Plant and Soil Sicences, University of Kentucky, Lexington, KY, USA","[Department of Plant and Soil Sicences, University of Kentucky, Lexington, KY, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Plant and Soil Sicences, University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]},{"raw_affiliation_string":"[Department of Plant and Soil Sicences, University of Kentucky, Lexington, KY, USA]","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044355627"],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78564427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"524","issue":null,"first_page":"1393","last_page":"1400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T12676","display_name":"Machine Learning and ELM","score":0.9934999942779541,"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/T10320","display_name":"Neural Networks and Applications","score":0.9918000102043152,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8498648405075073},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7930241823196411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6947702169418335},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6888591647148132},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6515317559242249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526974201202393},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5050936341285706},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.48299896717071533},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48161977529525757},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4773124158382416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44776636362075806},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4264029860496521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4170834422111511},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19242388010025024}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8498648405075073},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7930241823196411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947702169418335},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6888591647148132},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6515317559242249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526974201202393},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5050936341285706},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.48299896717071533},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48161977529525757},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4773124158382416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44776636362075806},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4264029860496521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4170834422111511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19242388010025024},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.1109/ijcnn.2014.6889366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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":23,"referenced_works":["https://openalex.org/W67380834","https://openalex.org/W140777655","https://openalex.org/W184334596","https://openalex.org/W618248042","https://openalex.org/W1420674303","https://openalex.org/W1495061682","https://openalex.org/W1559923427","https://openalex.org/W1596717185","https://openalex.org/W1619226191","https://openalex.org/W1969557815","https://openalex.org/W1976990135","https://openalex.org/W1982114217","https://openalex.org/W2004915807","https://openalex.org/W2072026441","https://openalex.org/W2091295999","https://openalex.org/W2097277527","https://openalex.org/W2120216197","https://openalex.org/W2133990480","https://openalex.org/W2140190241","https://openalex.org/W2169038408","https://openalex.org/W4285719527","https://openalex.org/W6607518677","https://openalex.org/W6628234610"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W20047544","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Feature":[0],"selection":[1,45,66,92],"is":[2],"a":[3,7,22,78],"technique":[4,33],"of":[5,9,80,97],"selecting":[6],"subset":[8],"relevant":[10],"features":[11,39,60,101],"for":[12],"building":[13],"robust":[14],"learning":[15],"models.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20,48,69],"developed":[21],"data":[23,96,106],"dimensionality":[24,107],"reduction":[25,108],"approach":[26,109],"using":[27],"sparsified":[28],"singular":[29],"value":[30],"decomposition":[31],"(SSVD)":[32],"to":[34,55,63],"identify":[35,56],"and":[36,57,74,84],"remove":[37,58],"trivial":[38],"before":[40],"applying":[41,90],"any":[42],"advanced":[43],"feature":[44,65,91],"algorithm.":[46],"First,":[47],"investigated":[49],"how":[50],"SSVD":[51],"can":[52],"be":[53],"used":[54],"nonessential":[59,100],"in":[61,112],"order":[62],"facilitate":[64],"performance.":[67],"Second,":[68],"analyzed":[70],"the":[71,85,95,99,105],"application":[72],"limitations":[73],"computing":[75,118],"complexity.":[76],"Next,":[77],"set":[79],"experiments":[81],"were":[82],"conducted":[83],"empirical":[86],"results":[87,111],"show":[88],"that":[89],"techniques":[93],"on":[94],"which":[98],"are":[102],"removed":[103],"by":[104],"generally":[110],"better":[113],"performance":[114],"with":[115],"significantly":[116],"reduced":[117],"time.":[119]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}