{"id":"https://openalex.org/W2898749462","doi":"https://doi.org/10.1109/mlsp.2018.8517025","title":"Enhanced Noisy Sparse Subspace Clustering via Reweighted L1-Minimization","display_name":"Enhanced Noisy Sparse Subspace Clustering via Reweighted L1-Minimization","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2898749462","doi":"https://doi.org/10.1109/mlsp.2018.8517025","mag":"2898749462"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2018.8517025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2018.8517025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004837650","display_name":"Jwo-Yuh Wu","orcid":"https://orcid.org/0000-0002-9608-4346"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jwo-Yuh Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091324167","display_name":"Liang-Chi Huang","orcid":"https://orcid.org/0000-0001-9128-3277"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chi Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007085399","display_name":"Ming-Hsun Yang","orcid":"https://orcid.org/0000-0002-9719-7801"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsun Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090095025","display_name":"Ling-Hua Chang","orcid":"https://orcid.org/0000-0003-3043-4267"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ling-Hua Chang","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084900180","display_name":"Chun\u2010Hung Liu","orcid":"https://orcid.org/0000-0001-8822-9966"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Hung Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Starkville MS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8252,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91310541,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.7749099135398865},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6934481859207153},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6365675926208496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6068249940872192},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6034396886825562},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5711179971694946},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5181635618209839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46062177419662476},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.44738084077835083},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4287444055080414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34862977266311646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32911330461502075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26601117849349976},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10949838161468506}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7749099135398865},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6934481859207153},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6365675926208496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068249940872192},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6034396886825562},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5711179971694946},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5181635618209839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46062177419662476},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.44738084077835083},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4287444055080414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34862977266311646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32911330461502075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26601117849349976},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10949838161468506},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2018.8517025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2018.8517025","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","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":23,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1523985187","https://openalex.org/W1993962865","https://openalex.org/W2103943817","https://openalex.org/W2104266187","https://openalex.org/W2107861471","https://openalex.org/W2119667497","https://openalex.org/W2139054653","https://openalex.org/W2152461258","https://openalex.org/W2164452299","https://openalex.org/W2294644361","https://openalex.org/W2563080677","https://openalex.org/W2615383372","https://openalex.org/W2783307739","https://openalex.org/W3004752963","https://openalex.org/W3099880660","https://openalex.org/W3102566946","https://openalex.org/W3105745294","https://openalex.org/W3124038910","https://openalex.org/W4235713725","https://openalex.org/W4250657332","https://openalex.org/W6638071513","https://openalex.org/W6675666693"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W2208932071"],"abstract_inverted_index":{"Sparse":[0],"subspace":[1],"clustering":[2],"(SSC)":[3],"relies":[4],"on":[5,85,107],"sparse":[6,25,74],"regression":[7,26,90],"for":[8,28,123,133,158],"accurate":[9],"neighbor":[10,108,135],"identification.":[11],"Inspired":[12],"by":[13,41,71],"recent":[14],"progress":[15],"in":[16,47,76,97,117],"compressive":[17],"sensing":[18],"(CS),":[19],"this":[20],"paper":[21],"proposes":[22],"a":[23,36,83,94,112,129],"new":[24,130],"scheme":[27,132],"SSC":[29,125],"via":[30],"reweighted":[31],"\uf06c1-minimization,":[32],"which":[33],"also":[34,162],"generalizes":[35],"two-step":[37],"\uf06c1-minimization":[38],"algorithm":[39],"introduced":[40],"E.":[42],"J.":[43],"Cand\u00e8s":[44],"al":[45],"all":[46],"[The":[48],"Annals":[49],"of":[50,88,105,151],"Statistics,":[51],"vol.":[52],"42,":[53],"no.":[54],"2,":[55],"pp.":[56],"669\u2013699,":[57],"2014]":[58],"without":[59],"incurring":[60],"extra":[61],"complexity":[62],"burden.":[63],"To":[64],"fully":[65],"exploit":[66],"the":[67,72,77,89,98,103,124,149,152],"prior":[68],"information":[69],"conveyed":[70],"computed":[73],"vector":[75],"first":[78],"step,":[79],"our":[80,145],"approach":[81],"places":[82],"weight":[84],"each":[86],"component":[87],"vector,":[91],"and":[92,127,147],"solves":[93],"weighted":[95],"LASSO":[96],"second":[99],"step.":[100],"We":[101],"discuss":[102],"impact":[104],"weighting":[106,114,131],"identification,":[109],"argue":[110],"that":[111],"popular":[113],"rule":[115],"used":[116],"CS":[118],"literature":[119],"is":[120],"not":[121],"suitable":[122],"purpose,":[126],"propose":[128],"enhancing":[134],"identification":[136],"accuracy.":[137],"Extensive":[138],"simulation":[139],"results":[140],"are":[141,161],"provided":[142],"to":[143],"validate":[144],"discussions":[146],"evidence":[148],"effectiveness":[150],"proposed":[153],"approach.":[154],"Some":[155],"key":[156],"issues":[157],"future":[159],"works":[160],"highlighted.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}