{"id":"https://openalex.org/W2034993779","doi":"https://doi.org/10.1142/s0218001414500062","title":"SPARSE REPRESENTATION-BASED APPROACH FOR UNSUPERVISED FEATURE SELECTION","display_name":"SPARSE REPRESENTATION-BASED APPROACH FOR UNSUPERVISED FEATURE SELECTION","publication_year":2014,"publication_date":"2014-03-12","ids":{"openalex":"https://openalex.org/W2034993779","doi":"https://doi.org/10.1142/s0218001414500062","mag":"2034993779"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001414500062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001414500062","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5110366368","display_name":"Ya-ru SU","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114441","display_name":"Zhejiang Provincial Public Security Department","ror":"https://ror.org/01z3tch16","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210114441"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"YA-RU SU","raw_affiliation_strings":["Forensic Science Division, Department of Fujian Provincial Public Security, Fuzhou, 361003, P. R. China"],"affiliations":[{"raw_affiliation_string":"Forensic Science Division, Department of Fujian Provincial Public Security, Fuzhou, 361003, P. R. China","institution_ids":["https://openalex.org/I4210114441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101463675","display_name":"Chuanxi Li","orcid":"https://orcid.org/0000-0002-8742-9832"},"institutions":[{"id":"https://openalex.org/I4210148850","display_name":"National Science Library","ror":"https://ror.org/04ndjyr10","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"CHUAN-XI LI","raw_affiliation_strings":["National Science Library, Chinese Academy of Sciences, Beijing, 100190, P. R. China"],"affiliations":[{"raw_affiliation_string":"National Science Library, Chinese Academy of Sciences, Beijing, 100190, P. R. China","institution_ids":["https://openalex.org/I4210148850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047334112","display_name":"Rujing Wang","orcid":"https://orcid.org/0000-0001-9534-3425"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"RU-JING WANG","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Science, Hefei, Anhui, 230027, P. R. China","School of Information Science and Technology, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Science, Hefei, Anhui, 230027, P. R. China","institution_ids":["https://openalex.org/I4210099079"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100629119","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-5810-8159"},"institutions":[{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"PENG CHEN","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Science, Hefei, Anhui, 230027, P. R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Science, Hefei, Anhui, 230027, P. R. China","institution_ids":["https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110366368"],"corresponding_institution_ids":["https://openalex.org/I4210114441"],"apc_list":null,"apc_paid":null,"fwci":0.4878,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68889472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"28","issue":"03","first_page":"1450006","last_page":"1450006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9861999750137329,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8132656812667847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7289780378341675},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.64559006690979},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.641372561454773},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.6404946446418762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6383532285690308},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5742192268371582},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5601978898048401},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5423553586006165},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5064626932144165},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.497715026140213},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4935420751571655},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4766053557395935},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4560340642929077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30984845757484436}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8132656812667847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289780378341675},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.64559006690979},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.641372561454773},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6404946446418762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6383532285690308},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5742192268371582},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5601978898048401},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5423553586006165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5064626932144165},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.497715026140213},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4935420751571655},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4766053557395935},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4560340642929077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30984845757484436},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001414500062","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001414500062","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W94937181","https://openalex.org/W1950520880","https://openalex.org/W1990014583","https://openalex.org/W1993962865","https://openalex.org/W2003217181","https://openalex.org/W2013029404","https://openalex.org/W2026099709","https://openalex.org/W2062770263","https://openalex.org/W2070127246","https://openalex.org/W2080322700","https://openalex.org/W2083793682","https://openalex.org/W2097308346","https://openalex.org/W2100556411","https://openalex.org/W2102708620","https://openalex.org/W2103268563","https://openalex.org/W2104266187","https://openalex.org/W2122825543","https://openalex.org/W2128728535","https://openalex.org/W2128873747","https://openalex.org/W2129812935","https://openalex.org/W2132549764","https://openalex.org/W2134262590","https://openalex.org/W2135046866","https://openalex.org/W2143920871","https://openalex.org/W2149620660","https://openalex.org/W2150414161","https://openalex.org/W2152281536","https://openalex.org/W2153663612","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2161516371","https://openalex.org/W2164931791","https://openalex.org/W2169658215","https://openalex.org/W2296616510","https://openalex.org/W3141355403","https://openalex.org/W4206674477","https://openalex.org/W4250955649","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2356785732","https://openalex.org/W4239033281","https://openalex.org/W4380789568","https://openalex.org/W3105745662","https://openalex.org/W4210430843","https://openalex.org/W2571325231","https://openalex.org/W4379523021","https://openalex.org/W20047544"],"abstract_inverted_index":{"Dimension":[0],"reduction":[1],"methods":[2],"including":[3],"feature":[4,7,28,94],"selection":[5,29],"and":[6,17,57,81,96,101],"extraction":[8],"have":[9],"played":[10],"an":[11],"important":[12],"role":[13],"in":[14,89],"data":[15],"mining":[16],"pattern":[18],"recognition.":[19],"In":[20],"this":[21],"study,":[22],"we":[23],"propose":[24],"a":[25],"novel":[26],"unsupervised":[27],"approach":[30],"based":[31,73],"on":[32,74],"sparse":[33,43],"representation":[34,44],"theory,":[35],"namely":[36],"Sparsity":[37],"Score":[38,55,63],"(SS).":[39],"Due":[40],"to":[41],"the":[42,50,58,68,90,93],"procedure,":[45],"SS":[46,86],"not":[47],"only":[48],"owns":[49],"global":[51],"property":[52,60],"of":[53,61,92],"Variance":[54],"(VS)":[56],"local":[59],"Laplacian":[62],"(LS),":[64],"but":[65],"also":[66],"possesses":[67],"discriminating":[69],"nature.":[70],"Experimental":[71],"results,":[72],"three":[75],"well-known":[76],"face":[77],"datasets":[78],"(Yale,":[79],"ORL":[80],"CMU":[82],"PIE),":[83],"reveal":[84],"that":[85],"performs":[87],"well":[88],"evaluation":[91],"significance,":[95],"it":[97],"significantly":[98],"outperforms":[99],"VS":[100],"LS.":[102]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}