{"id":"https://openalex.org/W3034473218","doi":"https://doi.org/10.1109/sam48682.2020.9104396","title":"Sparse Subspace Clustering with Linear Subspace-Neighborhood-Preserving Data Embedding","display_name":"Sparse Subspace Clustering with Linear Subspace-Neighborhood-Preserving Data Embedding","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3034473218","doi":"https://doi.org/10.1109/sam48682.2020.9104396","mag":"3034473218"},"language":"en","primary_location":{"id":"doi:10.1109/sam48682.2020.9104396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/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":["Institute of Communications Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications 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":["Institute of Communications Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070957054","display_name":"Wen-Hsuan Li","orcid":null},"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":"Wen-Hsuan Li","raw_affiliation_strings":["Institute of Communications Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024179364","display_name":"Hau-Hsiang Chan","orcid":null},"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":"Hau-Hsiang Chan","raw_affiliation_strings":["Institute of Communications Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","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, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077915885","display_name":"Rung-Hung Gau","orcid":"https://orcid.org/0000-0002-3981-3733"},"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":"Rung-Hung Gau","raw_affiliation_strings":["Institute of Communications Engineering, National Chiao Tung University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1801,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45469364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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":0.9442999958992004,"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":0.7195680141448975},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.648892343044281},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.618899405002594},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6129406690597534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.535959780216217},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4817114472389221},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.47850552201271057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38784223794937134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37200334668159485},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36066561937332153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32217103242874146}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7195680141448975},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.648892343044281},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.618899405002594},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6129406690597534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.535959780216217},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4817114472389221},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.47850552201271057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38784223794937134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37200334668159485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36066561937332153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32217103242874146},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam48682.2020.9104396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam48682.2020.9104396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1980079540","https://openalex.org/W1993962865","https://openalex.org/W2006533296","https://openalex.org/W2103250033","https://openalex.org/W2107861471","https://openalex.org/W2119667497","https://openalex.org/W2139054653","https://openalex.org/W2152461258","https://openalex.org/W2294644361","https://openalex.org/W2499720122","https://openalex.org/W2541308381","https://openalex.org/W2594639291","https://openalex.org/W2607365582","https://openalex.org/W2963103052","https://openalex.org/W2964247855","https://openalex.org/W3099880660","https://openalex.org/W3102566946","https://openalex.org/W4235713725","https://openalex.org/W4250657332","https://openalex.org/W6675955514","https://openalex.org/W6724289339"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Data":[0],"dimensionality":[1],"reduction":[2],"via":[3],"linear":[4,36,63],"embedding":[5,65,90,116],"is":[6,52,66,78],"a":[7,30,43,62,73],"typical":[8],"approach":[9],"to":[10,134],"economizing":[11],"the":[12,20,40,56,70,84,96,101,114,127,135],"computational":[13],"cost":[14],"of":[15,22,100],"machine":[16],"learning":[17],"systems.":[18],"In":[19,39,69],"context":[21],"sparse":[23,75],"subspace":[24,58,97],"clustering":[25,130],"(SSC),":[26],"this":[27],"paper":[28],"proposes":[29],"two-step":[31],"neighbor":[32,81],"identification":[33,82],"scheme":[34],"using":[35,83,107],"neighborhood-preserving":[37,64],"embedding.":[38],"first":[41],"step,":[42,72],"quadratically-":[44],"constrained":[45],"\u2113":[46],"<sub":[47],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[48],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[49],"-minimization":[50],"algorithm":[51,77],"solved":[53],"for":[54,80],"acquiring":[55],"side":[57],"neighborhood":[59,98],"information,":[60],"whereby":[61],"designed":[67],"accordingly.":[68],"second":[71],"LASSO":[74],"regression":[76],"conducted":[79],"dimensionality-":[85],"reduced":[86],"data.":[87],"The":[88],"proposed":[89,115],"design":[91],"explicitly":[92],"takes":[93],"into":[94],"account":[95],"structure":[99],"given":[102],"data":[103,111,129,139],"set.":[104],"Computer":[105],"simulations":[106],"real":[108],"human":[109],"face":[110],"show":[112],"that":[113],"not":[117],"only":[118],"outperforms":[119],"other":[120],"existing":[121],"dimensionality-reduction":[122],"schemes":[123],"but":[124],"also":[125],"improves":[126],"global":[128],"accuracy":[131],"when":[132],"compared":[133],"baseline":[136],"solution":[137],"without":[138],"compression.":[140]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}