{"id":"https://openalex.org/W3015245801","doi":"https://doi.org/10.1109/icassp40776.2020.9054291","title":"Discriminant and Sparsity Based Least Squares Regression with l<sub>1</sub> Regularization for Feature Representation","display_name":"Discriminant and Sparsity Based Least Squares Regression with l<sub>1</sub> Regularization for Feature Representation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015245801","doi":"https://doi.org/10.1109/icassp40776.2020.9054291","mag":"3015245801"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["PAMI Research Group, University of Macau, Taipa, Macau"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["PAMI Research Group, University of Macau, Taipa, Macau"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100638587","display_name":"Shuyi Li","orcid":"https://orcid.org/0000-0001-6264-9006"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shuyi Li","raw_affiliation_strings":["PAMI Research Group, University of Macau, Taipa, Macau"],"affiliations":[{"raw_affiliation_string":"PAMI Research Group, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006822798"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":1.2701,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.82088123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/discriminative-model","display_name":"Discriminative model","score":0.697055995464325},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6508622169494629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661525130271912},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5659866333007812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5562950372695923},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5034734606742859},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.47217267751693726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45987433195114136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45964762568473816},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43386903405189514},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.43262067437171936},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4242885112762451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27942681312561035},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22026395797729492},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.2147216498851776}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.697055995464325},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6508622169494629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661525130271912},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5659866333007812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5562950372695923},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5034734606742859},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.47217267751693726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45987433195114136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45964762568473816},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43386903405189514},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.43262067437171936},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4242885112762451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27942681312561035},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22026395797729492},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2147216498851776},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1975900269","https://openalex.org/W1993962865","https://openalex.org/W1996232089","https://openalex.org/W2004427069","https://openalex.org/W2043080228","https://openalex.org/W2097486709","https://openalex.org/W2107034620","https://openalex.org/W2118091795","https://openalex.org/W2123921160","https://openalex.org/W2138695073","https://openalex.org/W2145962650","https://openalex.org/W2474608001","https://openalex.org/W2493525444","https://openalex.org/W2603231868","https://openalex.org/W2612496192","https://openalex.org/W2791459777","https://openalex.org/W2794208501","https://openalex.org/W2886265585","https://openalex.org/W2907110086","https://openalex.org/W2963165461","https://openalex.org/W6757026537"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2021817983","https://openalex.org/W3021047493","https://openalex.org/W2371177901"],"abstract_inverted_index":{"Least":[0],"squares":[1,60],"regression":[2,26,61,111],"(LSR)":[3],"has":[4],"two":[5],"main":[6],"issues":[7],"that":[8],"greatly":[9],"limits":[10],"the":[11,29,34,71,76,89,94,108,115,123,126],"improvement":[12],"of":[13,33,75,110,125],"performance:":[14],"1)":[15],"The":[16],"target":[17],"matrix":[18,74,91,96],"is":[19,37,85,104],"too":[20],"rigid":[21,116],"leading":[22],"to":[23,40,92,106],"a":[24,42,54],"large":[25],"error;":[27],"2)":[28],"underlying":[30],"geometric":[31],"structure":[32,109],"training":[35,77],"data":[36,78],"often":[38],"ignored":[39],"learn":[41],"more":[43],"discriminative":[44],"projection":[45,90,95],"matrix.":[46,118],"To":[47],"solve":[48],"these":[49],"dilemmas,":[50],"this":[51],"paper":[52],"presents":[53],"discriminant":[55],"and":[56],"sparsity":[57],"based":[58],"least":[59],"with":[62,79,88],"l":[63,80],"<sub":[64,81],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[65,82],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[66,83],"regularization":[67,84],"(DS_LSR).":[68],"In":[69,98],"DS_LSR,":[70],"sparse":[72],"coefficient":[73],"jointly":[86],"learned":[87],"make":[93],"discriminative.":[97],"addition,":[99],"an":[100],"orthogonal":[101],"relaxed":[102],"term":[103],"introduced":[105],"hold":[107],"targets":[112],"while":[113],"relaxing":[114],"label":[117],"Extensive":[119],"experimental":[120],"results":[121],"demonstrate":[122],"effectiveness":[124],"proposed":[127],"method":[128],"in":[129],"classification":[130],"accuracy.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}