{"id":"https://openalex.org/W2970510865","doi":"https://doi.org/10.1109/icip.2019.8803440","title":"Sparse Subspace Clustering With Sequentially Ordered and Weighted L1-Minimization","display_name":"Sparse Subspace Clustering With Sequentially Ordered and Weighted L1-Minimization","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970510865","doi":"https://doi.org/10.1109/icip.2019.8803440","mag":"2970510865"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":["Dept. of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. 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":["Dept. of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. 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":["Dept. of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. 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":["Dept. of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, 39762, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, 39762, 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":0.3196,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63090773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"3387","last_page":"3391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9858999848365784,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7652533054351807},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6458452939987183},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5912641882896423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5548068284988403},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5374802350997925},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5360410809516907},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5291426777839661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49007904529571533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4713513255119324},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42875492572784424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42647695541381836},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4165901243686676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3710847795009613},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14222723245620728}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7652533054351807},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6458452939987183},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5912641882896423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5548068284988403},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5374802350997925},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5360410809516907},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5291426777839661},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49007904529571533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4713513255119324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42875492572784424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42647695541381836},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4165901243686676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3710847795009613},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14222723245620728},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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":20,"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/W2125874614","https://openalex.org/W2139054653","https://openalex.org/W2152461258","https://openalex.org/W2294644361","https://openalex.org/W2615383372","https://openalex.org/W2898749462","https://openalex.org/W3004752963","https://openalex.org/W3099880660","https://openalex.org/W3102566946","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/W2127804977","https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2016015572","https://openalex.org/W2140439590","https://openalex.org/W3003323003","https://openalex.org/W2103830593"],"abstract_inverted_index":{"Built":[0],"on":[1,27],"the":[2,14,35,69,77,94,103,106],"sparse":[3,6,22,43,57],"representation":[4,44],"framework,":[5],"subspace":[7],"clustering":[8,78],"(SSC)":[9],"received":[10],"considerable":[11],"attention":[12],"in":[13],"recent":[15],"years.":[16],"Conventional":[17],"SSC":[18,86],"employs":[19],"\u21131-minimization":[20,55],"based":[21,56],"regression":[23,58],"for":[24,74,85],"neighbor":[25,36,72],"identification":[26],"a":[28,53],"sample-by-sample":[29],"basis,":[30],"and":[31,60,96],"is":[32,87],"unaware":[33],"of":[34,71,82,105],"information":[37,73],"revealed":[38],"by":[39],"those":[40],"already":[41],"computed":[42],"vectors.":[45],"To":[46],"rid":[47],"this":[48,50],"drawback,":[49],"paper":[51],"proposes":[52],"weighted":[54],"method,":[59],"an":[61],"associated":[62],"data":[63,98],"ordering":[64],"rule":[65],"able":[66],"to":[67,101],"reflect":[68],"reliability":[70],"further":[75],"enhancing":[76],"accuracy.":[79],"The":[80],"selection":[81],"weighting":[83],"coefficients":[84],"also":[88],"discussed.":[89],"Computer":[90],"simulations":[91],"using":[92],"both":[93],"synthesis":[95],"real":[97],"are":[99],"provided":[100],"evidence":[102],"effectiveness":[104],"proposed":[107],"method.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
