{"id":"https://openalex.org/W2547197494","doi":"https://doi.org/10.1109/acpr.2011.6166712","title":"Recent advances in discriminant non-negative Matrix Factorization","display_name":"Recent advances in discriminant non-negative Matrix Factorization","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2547197494","doi":"https://doi.org/10.1109/acpr.2011.6166712","mag":"2547197494"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5039580376","display_name":"Symeon Nikitidis","orcid":null},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"S. Nikitidis","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Tefas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"I. Pitas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039580376"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.33881077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"401","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9993000030517578,"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":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8795510530471802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7574910521507263},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7319157123565674},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7238069772720337},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.6745562553405762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6549367904663086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5884037017822266},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.5458061099052429},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5452057719230652},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5376364588737488},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4432367980480194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37805649638175964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33284324407577515},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.12714990973472595}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8795510530471802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7574910521507263},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7319157123565674},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7238069772720337},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.6745562553405762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6549367904663086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5884037017822266},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.5458061099052429},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5452057719230652},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5376364588737488},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4432367980480194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37805649638175964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33284324407577515},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.12714990973472595},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acpr.2011.6166712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.672.7636","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.7636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ibug.doc.ic.ac.uk/media/uploads/documents/acpr2011.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"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":22,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1969182276","https://openalex.org/W1979382551","https://openalex.org/W2032176528","https://openalex.org/W2052570068","https://openalex.org/W2075194837","https://openalex.org/W2077658674","https://openalex.org/W2092395618","https://openalex.org/W2097492242","https://openalex.org/W2110096996","https://openalex.org/W2123921160","https://openalex.org/W2125127226","https://openalex.org/W2125331746","https://openalex.org/W2132347401","https://openalex.org/W2132538571","https://openalex.org/W2135029798","https://openalex.org/W2142621404","https://openalex.org/W2146739705","https://openalex.org/W2533517198","https://openalex.org/W3143596294","https://openalex.org/W4212997115","https://openalex.org/W6680012447"],"related_works":["https://openalex.org/W1999647744","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W2375208160","https://openalex.org/W2113920489","https://openalex.org/W2371177901","https://openalex.org/W1534459252","https://openalex.org/W1984472287"],"abstract_inverted_index":{"Non-negative":[0],"Matrix":[1],"Factorization":[2],"(NMF)":[3],"is":[4],"among":[5],"the":[6,37,76,82,94,101,125],"most":[7],"popular":[8],"subspace":[9],"methods":[10,123],"widely":[11],"used":[12],"in":[13,59,70,100,124],"a":[14,21,65,71],"variety":[15],"of":[16,36,49,75,81,127],"pattern":[17,129],"recognition":[18,130],"applications.":[19],"Recently,":[20],"discriminant":[22,90],"NMF":[23,95,104],"method":[24,74],"that":[25],"incorporates":[26],"Linear":[27],"Discriminant":[28,103],"Analysis":[29],"criteria":[30],"and":[31,87],"achieves":[32],"an":[33],"efficient":[34,73],"decomposition":[35,96],"provided":[38],"data":[39,84],"to":[40,61,64,108],"its":[41],"salient":[42],"parts":[43],"has":[44],"been":[45],"proposed.":[46],"An":[47],"extension":[48],"this":[50,117],"work":[51,118],"specialized":[52],"for":[53],"classification,":[54],"optimized":[55],"using":[56,132],"projected":[57],"gradients":[58],"order":[60],"ensure":[62],"converge":[63],"stationary":[66],"limit":[67],"point,":[68],"resulted":[69,99],"more":[72],"latter":[77],"approach.":[78],"Assuming":[79],"multimodality":[80],"underlying":[83],"samples":[85],"distribution":[86],"incorporating":[88],"clustering":[89],"inspired":[91],"constraints":[92],"into":[93],"cost":[97],"function,":[98],"Subclass":[102],"algorithm":[105],"which":[106],"found":[107],"outperform":[109],"both":[110],"approaches":[111],"under":[112],"real":[113],"life":[114],"settings.":[115],"In":[116],"we":[119],"review":[120],"all":[121],"these":[122],"context":[126],"various":[128],"problems":[131],"facial":[133],"images.":[134]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}