{"id":"https://openalex.org/W2945232940","doi":"https://doi.org/10.1631/fitee.1700804","title":"Unsupervised feature selection via joint local learning and group sparse regression","display_name":"Unsupervised feature selection via joint local learning and group sparse regression","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2945232940","doi":"https://doi.org/10.1631/fitee.1700804","mag":"2945232940"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1700804","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1700804","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","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/A5100668826","display_name":"Yue Wu","orcid":"https://orcid.org/0000-0003-0126-3614"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Wu","raw_affiliation_strings":["Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033018369","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-5890-4307"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Wang","raw_affiliation_strings":["Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036979581","display_name":"Yue-qing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-qing Zhang","raw_affiliation_strings":["Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-jun Bu","raw_affiliation_strings":["Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"Joint Institute of Frontier Technologies, Alibaba-Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100668826"],"corresponding_institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4123792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"20","issue":"4","first_page":"538","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9954000115394592,"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":0.9950000047683716,"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-selection","display_name":"Feature selection","score":0.6669872999191284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6669568419456482},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6202301383018494},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5119012594223022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5105944275856018},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5087042450904846},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47343897819519043},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4713442027568817},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.4547904431819916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42282766103744507},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41692623496055603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29858264327049255},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2483566701412201},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09996607899665833}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6669872999191284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6669568419456482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6202301383018494},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5119012594223022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5105944275856018},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5087042450904846},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47343897819519043},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4713442027568817},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4547904431819916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42282766103744507},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41692623496055603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29858264327049255},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2483566701412201},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09996607899665833},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1700804","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1700804","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W19235576","https://openalex.org/W108615132","https://openalex.org/W179492584","https://openalex.org/W976055743","https://openalex.org/W1534748669","https://openalex.org/W1580175113","https://openalex.org/W1966297316","https://openalex.org/W1968978358","https://openalex.org/W1988881859","https://openalex.org/W2001141328","https://openalex.org/W2009501510","https://openalex.org/W2053186076","https://openalex.org/W2073161435","https://openalex.org/W2076363162","https://openalex.org/W2100659887","https://openalex.org/W2105999656","https://openalex.org/W2113590298","https://openalex.org/W2119479037","https://openalex.org/W2119925377","https://openalex.org/W2121007818","https://openalex.org/W2121410881","https://openalex.org/W2122825543","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2128873747","https://openalex.org/W2131828344","https://openalex.org/W2135046866","https://openalex.org/W2141461755","https://openalex.org/W2142623955","https://openalex.org/W2143426320","https://openalex.org/W2148830179","https://openalex.org/W2149620660","https://openalex.org/W2154053567","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2158933803","https://openalex.org/W2166840159","https://openalex.org/W2171837816","https://openalex.org/W2222512263","https://openalex.org/W2249670697","https://openalex.org/W2422268042","https://openalex.org/W2577472518","https://openalex.org/W2581572661","https://openalex.org/W3015571647","https://openalex.org/W3099514962","https://openalex.org/W3118608800","https://openalex.org/W3145074154","https://openalex.org/W4237171445","https://openalex.org/W4285719527","https://openalex.org/W6676003463","https://openalex.org/W6681822384","https://openalex.org/W6682644385","https://openalex.org/W6691104258"],"related_works":["https://openalex.org/W3196155444","https://openalex.org/W4225360065","https://openalex.org/W4287665842","https://openalex.org/W3209574120","https://openalex.org/W3087576162","https://openalex.org/W4212852473","https://openalex.org/W2468540678","https://openalex.org/W3174196512","https://openalex.org/W4295514622","https://openalex.org/W2592385986"],"abstract_inverted_index":{"Feature":[0],"selection":[1,36,51,96],"has":[2],"attracted":[3],"a":[4,72,92,119],"great":[5],"deal":[6],"of":[7,20,179],"interest":[8],"over":[9],"the":[10,18,43,59,66,74,128,136,147,152,156,163,177],"past":[11],"decades.":[12],"By":[13],"selecting":[14],"meaningful":[15],"feature":[16,35,50,95],"subsets,":[17],"performance":[19],"learning":[21,101,110],"algorithms":[22],"can":[23],"be":[24],"effectively":[25,57],"improved.":[26],"Because":[27],"label":[28],"information":[29],"is":[30,52,78,143],"expensive":[31],"to":[32,48,53,65,161],"obtain,":[33],"unsupervised":[34,49,94],"methods":[37],"are":[38,159],"more":[39],"widely":[40],"used":[41],"than":[42],"supervised":[44],"ones.":[45],"The":[46],"key":[47],"find":[54],"features":[55,124,154,158],"that":[56,125],"reflect":[58],"underlying":[60],"data":[61,76,137],"distribution.":[62],"However,":[63],"due":[64],"inevitable":[67],"redundancies":[68],"and":[69,102,122,131,155,173],"noise":[70],"in":[71,118,135,145],"dataset,":[73],"intrinsic":[75],"distribution":[77],"not":[79],"best":[80],"revealed":[81],"when":[82],"using":[83],"all":[84],"features.":[85],"To":[86],"address":[87],"this":[88],"issue,":[89],"we":[90],"propose":[91],"novel":[93],"algorithm":[97],"via":[98],"joint":[99],"local":[100,109],"group":[103,114,132],"sparse":[104,133],"regression":[105,117],"(JLLGSR).":[106],"JLLGSR":[107],"incorporates":[108],"based":[111],"clustering":[112,164],"with":[113],"sparsity":[115],"regularized":[116],"single":[120],"formulation,":[121],"seeks":[123],"respect":[126],"both":[127],"manifold":[129],"structure":[130,134],"space.":[138],"An":[139],"iterative":[140],"optimization":[141],"method":[142],"developed":[144],"which":[146],"weights":[148],"finally":[149],"converge":[150],"on":[151,167],"important":[153],"selected":[157],"able":[160],"improve":[162],"results.":[165],"Experiments":[166],"multiple":[168],"real-world":[169],"datasets":[170],"(images,":[171],"voices,":[172],"web":[174],"pages)":[175],"demonstrate":[176],"effectiveness":[178],"JLLGSR.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}