{"id":"https://openalex.org/W2036962109","doi":"https://doi.org/10.1109/icip.2010.5650188","title":"Joint Sparsity Model with Matrix Completion for an ensemble of face images","display_name":"Joint Sparsity Model with Matrix Completion for an ensemble of face images","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2036962109","doi":"https://doi.org/10.1109/icip.2010.5650188","mag":"2036962109"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5650188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5650188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","Compute Science and Engineering, Arizona State University, Tempe, 85281, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Compute Science and Engineering, Arizona State University, Tempe, 85281, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032615847","display_name":"Baoxin Li","orcid":"https://orcid.org/0000-0002-9294-4572"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baoxin Li","raw_affiliation_strings":["Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","Compute Science and Engineering, Arizona State University, Tempe, 85281, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Compute Science and Engineering, Arizona State University, Tempe, 85281, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100381999"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.5936,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.84349259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"1665","last_page":"1668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.750178337097168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6890602707862854},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6845672130584717},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6803155541419983},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.6489151120185852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.584685742855072},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5719102025032043},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.567093014717102},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5002884864807129},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4991638660430908},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4458756446838379},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44549280405044556},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43054622411727905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41033095121383667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14878416061401367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750178337097168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6890602707862854},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6845672130584717},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6803155541419983},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6489151120185852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.584685742855072},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5719102025032043},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.567093014717102},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5002884864807129},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4991638660430908},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4458756446838379},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44549280405044556},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43054622411727905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41033095121383667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14878416061401367},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/icip.2010.5650188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5650188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1848264314","https://openalex.org/W2102248644","https://openalex.org/W2103265518","https://openalex.org/W2103972604","https://openalex.org/W2124608575","https://openalex.org/W2125874614","https://openalex.org/W2129812935","https://openalex.org/W2138451337","https://openalex.org/W2145096794","https://openalex.org/W2157639439","https://openalex.org/W2611328865","https://openalex.org/W2951328719","https://openalex.org/W2994340921","https://openalex.org/W6635552349","https://openalex.org/W6683265229"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W2888483922","https://openalex.org/W2014501910"],"abstract_inverted_index":{"An":[0,86],"ensemble":[1,55],"of":[2,11,18,21,56,68,72],"correlated":[3],"signals":[4],"are":[5],"often":[6],"encountered":[7],"in":[8,66,74,120],"many":[9],"applications":[10],"image":[12],"processing,":[13],"such":[14,83],"as":[15,84],"a":[16,30,43,50],"set":[17],"face":[19,57,124],"images":[20,125],"the":[22,75,91,96,111],"same":[23],"subject.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"propose":[29],"new":[31],"model,":[32],"called":[33],"Joint":[34],"Sparsity":[35],"Model":[36],"with":[37,122,126],"Matrix":[38],"Completion":[39],"(JSM-MC),":[40],"which":[41],"extracts":[42],"common":[44],"component,":[45,48],"an":[46,54,80],"innovation":[47],"and":[49,103],"low-rank":[51],"component":[52],"from":[53],"images.":[58],"These":[59],"components":[60],"have":[61],"their":[62],"respective":[63],"physical":[64],"significance":[65],"terms":[67],"representing":[69],"different":[70],"types":[71],"information":[73],"original":[76],"ensemble,":[77],"hence":[78],"facilitating":[79],"analysis":[81],"task":[82],"recognition.":[85],"algorithm":[87],"is":[88],"proposed":[89,112],"under":[90],"model":[92],"to":[93],"solve":[94],"for":[95],"components,":[97],"based":[98],"on":[99],"Block":[100],"Coordinate":[101],"Descent":[102],"Singular":[104],"Value":[105],"Thresholding.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"method":[113],"has":[114],"unique":[115],"advantages":[116],"over":[117],"existing":[118],"methods":[119],"dealing":[121],"challenging":[123],"extreme":[127],"illumination":[128],"conditions":[129],"or":[130],"occlusions.":[131]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
