{"id":"https://openalex.org/W2005901521","doi":"https://doi.org/10.1109/grc.2012.6468564","title":"Dual Locality Preserving Nonnegative Matrix Factorization for image analysis","display_name":"Dual Locality Preserving Nonnegative Matrix Factorization for image analysis","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2005901521","doi":"https://doi.org/10.1109/grc.2012.6468564","mag":"2005901521"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2012.6468564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026553094","display_name":"Furui Liu","orcid":"https://orcid.org/0000-0003-3997-3822"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Furui Liu","raw_affiliation_strings":["State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","State Key Lab of CAD&CG, College of Computer Science Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Lab of CAD&CG, College of Computer Science Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026553094"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10338444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"300","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9984999895095825,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/multiplicative-function","display_name":"Multiplicative function","score":0.6808928847312927},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6056494116783142},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5802533030509949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4930879771709442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44412681460380554},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.4241827726364136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39552196860313416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35095298290252686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3452831208705902},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.32921120524406433},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32496970891952515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07219138741493225}],"concepts":[{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6808928847312927},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6056494116783142},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5802533030509949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4930879771709442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44412681460380554},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4241827726364136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39552196860313416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35095298290252686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3452831208705902},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.32921120524406433},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32496970891952515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07219138741493225},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2012.6468564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W178113997","https://openalex.org/W1486189686","https://openalex.org/W1489499640","https://openalex.org/W1601795611","https://openalex.org/W1902027874","https://openalex.org/W2098693229","https://openalex.org/W2135029798","https://openalex.org/W2136171036","https://openalex.org/W2139850885","https://openalex.org/W2156718197","https://openalex.org/W2160551639","https://openalex.org/W2169658215","https://openalex.org/W2571268788","https://openalex.org/W2749035964","https://openalex.org/W4244494905","https://openalex.org/W6607212033","https://openalex.org/W6680012447","https://openalex.org/W6680905637","https://openalex.org/W6682755970","https://openalex.org/W6731448591"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2149305241","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2902260311","https://openalex.org/W2045265907","https://openalex.org/W2972997031"],"abstract_inverted_index":{"Recently,":[0],"Nonnegative":[1,91],"Matrix":[2,92],"Factorization(NMF)":[3],"has":[4],"been":[5],"viewed":[6],"as":[7,29],"an":[8,50],"effective":[9],"method":[10],"for":[11,14],"data":[12,134],"engineering":[13],"its":[15],"part-based":[16],"interpretability":[17],"and":[18,36,56,82,107],"superior":[19],"performance.":[20],"However,":[21],"ordinary":[22],"NMF":[23],"merely":[24],"views":[25],"a":[26,30,54,77,84],"r1\u00d7":[27,33],"r2image":[28],"vector":[31],"in":[32,67],"r2dimensional":[34],"space":[35],"the":[37,40,68,99,108,123,137],"pixels":[38,57,104],"of":[39,139],"image":[41,51,113,133],"are":[42],"considered":[43],"independent.":[44],"It":[45],"fails":[46],"to":[47,60,121],"consider":[48],"that":[49],"is":[52,118],"intrinsically":[53],"matrix,":[55],"spatially":[58,79],"close":[59],"each":[61],"other":[62],"may":[63],"also":[64,119],"be":[65],"correlated":[66],"final":[69],"learned":[70],"representation.":[71],"In":[72],"this":[73,140],"paper,":[74],"I":[75],"construct":[76],"novel":[78,85],"nearest":[80],"graph":[81],"propose":[83],"algorithm":[86],"named":[87],"Dual":[88],"Locality":[89],"Preserving":[90],"Factorization":[93],"(DLPNMF),":[94],"which":[95],"explicitly":[96],"models":[97],"both":[98],"spatial":[100],"correlation":[101],"between":[102],"neighboring":[103],"inside":[105],"images":[106],"geometric":[109],"structure":[110],"among":[111],"different":[112],"vectors.":[114],"A":[115],"multiplicative":[116],"rule":[117],"proposed":[120],"solve":[122],"corresponding":[124],"optimization":[125],"problem.":[126],"The":[127],"encouraging":[128],"experimental":[129],"results":[130],"on":[131],"benchmark":[132],"have":[135],"demonstrated":[136],"effectiveness":[138],"algorithm.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}