{"id":"https://openalex.org/W292726429","doi":"https://doi.org/10.1109/tit.2020.2981309","title":"Sparse Representation Classification Beyond \u21131 Minimization and the Subspace Assumption","display_name":"Sparse Representation Classification Beyond \u21131 Minimization and the Subspace Assumption","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W292726429","doi":"https://doi.org/10.1109/tit.2020.2981309","mag":"292726429"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2020.2981309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.2981309","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.01368","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017159636","display_name":"Cencheng Shen","orcid":"https://orcid.org/0000-0003-1030-1432"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cencheng Shen","raw_affiliation_strings":["University of Delaware, Newark, USA","University of Delaware"],"raw_orcid":"https://orcid.org/0000-0003-1030-1432","affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379216","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-1754-0607"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Intel, Hillsboro, USA","[Intel, Hillsboro, OR, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel, Hillsboro, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"[Intel, Hillsboro, OR, USA]","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377614","display_name":"Yuexiao Dong","orcid":"https://orcid.org/0000-0003-2269-7745"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuexiao Dong","raw_affiliation_strings":["Temple University, Philadelphia, USA","[Temple University]"],"raw_orcid":"https://orcid.org/0000-0003-2269-7745","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"[Temple University]","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031834098","display_name":"Carey E. Priebe","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carey E. Priebe","raw_affiliation_strings":["Johns Hopkins University, Baltimore, USA","Johns Hopkins University ("],"raw_orcid":"https://orcid.org/0000-0002-0139-7201","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Johns Hopkins University (","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017159636"],"corresponding_institution_ids":["https://openalex.org/I86501945"],"apc_list":null,"apc_paid":null,"fwci":1.0783,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71474101,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"8","first_page":"5061","last_page":"5071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9955000281333923,"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/subspace-topology","display_name":"Subspace topology","score":0.7560387849807739},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6325681209564209},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6090262532234192},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5553832054138184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.516987681388855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48287251591682434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4495774209499359},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4270578622817993},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1735335886478424},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.058955997228622437}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7560387849807739},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6325681209564209},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6090262532234192},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5553832054138184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.516987681388855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48287251591682434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4495774209499359},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4270578622817993},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1735335886478424},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.058955997228622437},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tit.2020.2981309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2020.2981309","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1502.01368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.01368","pdf_url":"https://arxiv.org/pdf/1502.01368","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.01368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.01368","pdf_url":"https://arxiv.org/pdf/1502.01368","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3047420522","display_name":null,"funder_award_id":"N66001-15-C-4041","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5260592332","display_name":null,"funder_award_id":"FA8750-12-2-0303","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G5428660764","display_name":null,"funder_award_id":"DMS-1712947","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320310145","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1236989346","https://openalex.org/W1564947197","https://openalex.org/W1897638147","https://openalex.org/W1927438844","https://openalex.org/W1964749215","https://openalex.org/W1971361074","https://openalex.org/W1974883964","https://openalex.org/W1976709621","https://openalex.org/W1978394996","https://openalex.org/W1984568490","https://openalex.org/W1987349051","https://openalex.org/W1991646682","https://openalex.org/W1993962865","https://openalex.org/W1995119847","https://openalex.org/W2006793117","https://openalex.org/W2040092971","https://openalex.org/W2051638434","https://openalex.org/W2056938357","https://openalex.org/W2062102668","https://openalex.org/W2063978378","https://openalex.org/W2069959554","https://openalex.org/W2071490777","https://openalex.org/W2078204800","https://openalex.org/W2080296254","https://openalex.org/W2095978736","https://openalex.org/W2098012923","https://openalex.org/W2099100030","https://openalex.org/W2099641086","https://openalex.org/W2102907934","https://openalex.org/W2114147096","https://openalex.org/W2114595593","https://openalex.org/W2116148865","https://openalex.org/W2117302351","https://openalex.org/W2117553576","https://openalex.org/W2118047185","https://openalex.org/W2122992239","https://openalex.org/W2123921160","https://openalex.org/W2125027820","https://openalex.org/W2125874614","https://openalex.org/W2127271355","https://openalex.org/W2127300249","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2135046866","https://openalex.org/W2135161976","https://openalex.org/W2135780853","https://openalex.org/W2140856955","https://openalex.org/W2142848040","https://openalex.org/W2147152072","https://openalex.org/W2147276092","https://openalex.org/W2147329339","https://openalex.org/W2150409012","https://openalex.org/W2150940164","https://openalex.org/W2154332973","https://openalex.org/W2154560360","https://openalex.org/W2164452299","https://openalex.org/W2167999447","https://openalex.org/W2170873995","https://openalex.org/W2787248994","https://openalex.org/W2962882549","https://openalex.org/W2963689635","https://openalex.org/W2963809997","https://openalex.org/W2964017521","https://openalex.org/W2971725550","https://openalex.org/W3002534707","https://openalex.org/W3100144903","https://openalex.org/W3103643510","https://openalex.org/W3106266785","https://openalex.org/W4255493559","https://openalex.org/W4285719527","https://openalex.org/W6677737529","https://openalex.org/W6678315064","https://openalex.org/W6681909378","https://openalex.org/W6768066124"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2167092671","https://openalex.org/W1861706286","https://openalex.org/W2219338811","https://openalex.org/W2149583853","https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W1964749215","https://openalex.org/W2016015572"],"abstract_inverted_index":{"The":[0,62],"sparse":[1],"representation":[2],"classifier":[3],"(SRC)":[4],"has":[5],"been":[6],"utilized":[7],"in":[8],"various":[9],"classification":[10,53],"problems,":[11],"which":[12],"makes":[13],"use":[14],"of":[15,36],"\u21131":[16],"minimization":[17],"and":[18,50,60,68,80],"works":[19],"well":[20],"for":[21],"image":[22],"recognition":[23],"satisfying":[24],"a":[25,33,56],"subspace":[26,58],"assumption.":[27],"In":[28],"this":[29],"paper":[30],"we":[31],"propose":[32],"new":[34,74],"implementation":[35],"SRC":[37,46],"via":[38,66],"screening,":[39],"establish":[40],"its":[41,52],"equivalence":[42],"to":[43],"the":[44,73],"original":[45],"under":[47,55],"regularity":[48],"conditions,":[49],"prove":[51],"consistency":[54],"latent":[57],"model":[59],"contamination.":[61],"results":[63],"are":[64],"demonstrated":[65],"simulations":[67],"real":[69],"data":[70],"experiments,":[71],"where":[72],"algorithm":[75],"achieves":[76],"comparable":[77],"numerical":[78],"performance":[79],"significantly":[81],"faster.":[82]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}