{"id":"https://openalex.org/W2141043043","doi":"https://doi.org/10.1109/icip.2009.5413913","title":"Using sparse regression to learn effective projections for face recognition","display_name":"Using sparse regression to learn effective projections for face recognition","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2141043043","doi":"https://doi.org/10.1109/icip.2009.5413913","mag":"2141043043"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5091583332","display_name":"Yongxin Taylor Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongxin Taylor Xi","raw_affiliation_strings":["Department Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. Electrical Engineering, Princeton University, NJ 08544, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. Electrical Engineering, Princeton University, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041274293","display_name":"Peter J. Ramadge","orcid":"https://orcid.org/0000-0002-3282-216X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Ramadge","raw_affiliation_strings":["Department Electrical Engineering, Princeton University, Princeton, NJ, USA","Dept. Electrical Engineering, Princeton University, NJ 08544, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. Electrical Engineering, Princeton University, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.17877145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3333","last_page":"3336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.996399998664856,"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":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8182728290557861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7246337532997131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7175152897834778},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6607064008712769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6398870348930359},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6356821656227112},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6291506290435791},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6026002168655396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5574964284896851},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5252063870429993},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5059868693351746},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4614388644695282},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4351266622543335},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.4200902581214905},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4170764982700348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3317450284957886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24591422080993652},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13057246804237366},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09461385011672974}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8182728290557861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7246337532997131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175152897834778},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6607064008712769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6398870348930359},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6356821656227112},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6291506290435791},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6026002168655396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5574964284896851},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5252063870429993},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5059868693351746},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4614388644695282},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4351266622543335},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.4200902581214905},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4170764982700348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3317450284957886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24591422080993652},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13057246804237366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09461385011672974},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1554944419","https://openalex.org/W1592064104","https://openalex.org/W1984514442","https://openalex.org/W1989702938","https://openalex.org/W1997011019","https://openalex.org/W2033419168","https://openalex.org/W2063978378","https://openalex.org/W2109064712","https://openalex.org/W2115689562","https://openalex.org/W2121323570","https://openalex.org/W2121647436","https://openalex.org/W2123157895","https://openalex.org/W2131273085","https://openalex.org/W2135046866","https://openalex.org/W2138451337","https://openalex.org/W2143340430","https://openalex.org/W4233340855","https://openalex.org/W6678132472","https://openalex.org/W6678385540"],"related_works":["https://openalex.org/W2997212488","https://openalex.org/W2380784125","https://openalex.org/W4387870091","https://openalex.org/W2510961579","https://openalex.org/W2110152839","https://openalex.org/W4381587093","https://openalex.org/W2104032996","https://openalex.org/W2765894738","https://openalex.org/W1580457994","https://openalex.org/W1973963881"],"abstract_inverted_index":{"We":[0,16,26],"explore":[1],"sparse":[2,19,36,51],"regression":[3,20,37],"for":[4],"effective":[5],"feature":[6],"selection":[7],"and":[8,13,44,56],"classification":[9],"in":[10,21],"face":[11,72],"identity":[12],"expression":[14],"recognition.":[15],"argue":[17],"that":[18,61],"pixel":[22],"space":[23],"is":[24],"inappropriate.":[25],"propose":[27],"instead":[28],"a":[29,50],"method":[30,47],"which":[31],"combines":[32],"the":[33],"virtues":[34],"of":[35,53],"with":[38],"projection":[39],"methods":[40],"such":[41],"as":[42],"PCA":[43],"FDA.":[45],"The":[46],"can":[48],"learn":[49],"set":[52],"discriminative":[54],"projections":[55],"increase":[57],"recognition":[58],"accuracy":[59],"beyond":[60],"achievable":[62],"by":[63,67],"FDA.We":[64],"demonstrate":[65],"this":[66],"performance":[68],"comparisons":[69],"on":[70],"three":[71],"data":[73],"sets.":[74]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}