{"id":"https://openalex.org/W2903672129","doi":"https://doi.org/10.1109/acpr.2017.3","title":"A Generalized Discriminative Least Squares Regression Model","display_name":"A Generalized Discriminative Least Squares Regression Model","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2903672129","doi":"https://doi.org/10.1109/acpr.2017.3","mag":"2903672129"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2017.3","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2017.3","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5016933731","display_name":"Haoliang Yuan","orcid":"https://orcid.org/0000-0001-5167-226X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoliang Yuan","raw_affiliation_strings":["School of Automation Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006628008","display_name":"Junjie Zheng","orcid":"https://orcid.org/0000-0002-3031-3556"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zheng","raw_affiliation_strings":["School of Automation Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083734580","display_name":"Fangyuan Xu","orcid":"https://orcid.org/0000-0002-3658-1666"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Xu","raw_affiliation_strings":["School of Automation Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029853791","display_name":"Loi Lei Lai","orcid":"https://orcid.org/0000-0003-4786-7931"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Loi Lei Lai","raw_affiliation_strings":["School of Automation Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010566708","display_name":"Weiyang Li","orcid":"https://orcid.org/0000-0001-5827-415X"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyang Li","raw_affiliation_strings":["State Grid Energy Research Institute (SGERI), Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Grid Energy Research Institute (SGERI), Beijing, China","institution_ids":["https://openalex.org/I4210094970"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088990701","display_name":"Houqing Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqing Zheng","raw_affiliation_strings":["State Grid Energy Research Institute (SGERI), Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Grid Energy Research Institute (SGERI), Beijing, China","institution_ids":["https://openalex.org/I4210094970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773655","display_name":"Zhimin Wang","orcid":"https://orcid.org/0000-0001-5089-977X"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimin Wang","raw_affiliation_strings":["State Grid Energy Research Institute (SGERI), Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Grid Energy Research Institute (SGERI), Beijing, China","institution_ids":["https://openalex.org/I4210094970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016933731"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2577162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"376","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9628000259399414,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9538000226020813,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7147262692451477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5039207339286804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4943068027496338},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.46614208817481995},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45733222365379333},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.44732731580734253},{"id":"https://openalex.org/keywords/generalized-least-squares","display_name":"Generalized least squares","score":0.4442760944366455},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4377244710922241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4277064800262451},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42495444416999817},{"id":"https://openalex.org/keywords/iteratively-reweighted-least-squares","display_name":"Iteratively reweighted least squares","score":0.41598251461982727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3967764675617218},{"id":"https://openalex.org/keywords/total-least-squares","display_name":"Total least squares","score":0.3685373067855835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36209776997566223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2276844084262848},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2169298231601715}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7147262692451477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5039207339286804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4943068027496338},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.46614208817481995},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45733222365379333},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.44732731580734253},{"id":"https://openalex.org/C188649462","wikidata":"https://www.wikidata.org/wiki/Q2246261","display_name":"Generalized least squares","level":3,"score":0.4442760944366455},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4377244710922241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4277064800262451},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42495444416999817},{"id":"https://openalex.org/C126090379","wikidata":"https://www.wikidata.org/wiki/Q6094424","display_name":"Iteratively reweighted least squares","level":4,"score":0.41598251461982727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3967764675617218},{"id":"https://openalex.org/C169241690","wikidata":"https://www.wikidata.org/wiki/Q7828122","display_name":"Total least squares","level":3,"score":0.3685373067855835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36209776997566223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2276844084262848},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2169298231601715},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2017.3","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2017.3","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2004427069","https://openalex.org/W2012321340","https://openalex.org/W2043080228","https://openalex.org/W2071490777","https://openalex.org/W2100659887","https://openalex.org/W2103560185","https://openalex.org/W2109064712","https://openalex.org/W2109109045","https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2135046866","https://openalex.org/W2166446427","https://openalex.org/W2342548755","https://openalex.org/W2471678645","https://openalex.org/W2546471346","https://openalex.org/W2581571072","https://openalex.org/W2912369344","https://openalex.org/W6732480739"],"related_works":["https://openalex.org/W2030255580","https://openalex.org/W4380487384","https://openalex.org/W2034819163","https://openalex.org/W2368345218","https://openalex.org/W3150673294","https://openalex.org/W2123913166","https://openalex.org/W2043225268","https://openalex.org/W1546276525","https://openalex.org/W2368940260","https://openalex.org/W4319880936"],"abstract_inverted_index":{"Least":[0],"squares":[1,20],"regression":[2,21],"(LSR)":[3],"is":[4,32,77],"a":[5,16,35],"fundamental":[6],"tool":[7],"in":[8,60],"statistics":[9],"theory.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14],"propose":[15],"generalized":[17],"discriminative":[18],"least":[19],"(GDLSR)":[22],"model":[23],"for":[24],"multicategory":[25],"classification.":[26],"The":[27],"main":[28],"motivation":[29],"of":[30,42,95],"GDLSR":[31,55],"to":[33,38,79],"introduce":[34],"translation":[36,53,66],"matrix":[37],"enhance":[39],"the":[40,43,48,52,58,61,81,93],"flexibility":[41],"target":[44],"matrix.":[45],"Through":[46],"adding":[47],"graph":[49],"constraint":[50],"into":[51],"matrix,":[54],"can":[56],"make":[57],"samples":[59],"same":[62],"class":[63],"have":[64],"similar":[65],"vectors.":[67],"To":[68],"optimize":[69],"our":[70],"proposed":[71,78],"GDLSR,":[72],"an":[73],"efficient":[74],"iteration":[75],"algorithm":[76],"find":[80],"global":[82],"optimal":[83],"solution.":[84],"Extensive":[85],"experiments":[86],"results":[87],"on":[88],"face":[89],"data":[90],"sets":[91],"confirm":[92],"effectiveness":[94],"GDLSR.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}