{"id":"https://openalex.org/W2139332770","doi":"https://doi.org/10.1109/icassp.2012.6288001","title":"Neighbor embedding with non-negative matrix factorization for image prediction","display_name":"Neighbor embedding with non-negative matrix factorization for image prediction","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2139332770","doi":"https://doi.org/10.1109/icassp.2012.6288001","mag":"2139332770"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288001","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 Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","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/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Rennes, France","INRIA, Campus Universitaire de Beaulieu, 35042 RENNES, FRANCE"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, Campus Universitaire de Beaulieu, 35042 RENNES, FRANCE","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037151051","display_name":"Mehmet T\u00fcrkan","orcid":"https://orcid.org/0000-0002-9780-9249"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mehmet Turkan","raw_affiliation_strings":["INRIA, Rennes, France","INRIA, Campus Universitaire de Beaulieu, 35042 RENNES, FRANCE"],"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, Campus Universitaire de Beaulieu, 35042 RENNES, FRANCE","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010468033"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":0.5551,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70812314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"290","issue":null,"first_page":"785","last_page":"788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9969000220298767,"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":0.9969000220298767,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8618910908699036},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.768562912940979},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.7082034945487976},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5699882507324219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48690903186798096},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.47904956340789795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4768032729625702},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4619911015033722},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4611200988292694},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45666980743408203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4427953362464905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41829565167427063},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4159885346889496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3993506133556366}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8618910908699036},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.768562912940979},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.7082034945487976},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5699882507324219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48690903186798096},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.47904956340789795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4768032729625702},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4619911015033722},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4611200988292694},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45666980743408203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4427953362464905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41829565167427063},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4159885346889496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3993506133556366},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288001","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 Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00755720v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-00755720","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6288001&tag=1","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W178113997","https://openalex.org/W1553420306","https://openalex.org/W1981271712","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2059745395","https://openalex.org/W2090091968","https://openalex.org/W2108119513","https://openalex.org/W2110096996","https://openalex.org/W2120816706","https://openalex.org/W2135029798","https://openalex.org/W6607212033","https://openalex.org/W6676321539","https://openalex.org/W6680012447","https://openalex.org/W6844574540"],"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":{"The":[0,16,48],"paper":[1],"studies":[2],"several":[3],"non-negative":[4],"matrix":[5],"factorization":[6],"methods":[7,17,77],"with":[8,73,87],"nearest":[9],"neighbors":[10],"constrained":[11],"dictionaries":[12],"for":[13],"image":[14],"prediction.":[15],"considered":[18],"include":[19],"the":[20,24,31,41,45],"multiplicative":[21],"update":[22],"algorithm,":[23,27],"projected":[25],"gradient":[26],"as":[28,30],"well":[29],"graph-regularized":[32],"NMF":[33,55],"solution":[34],"which":[35],"aims":[36],"at":[37],"taking":[38],"into":[39],"account":[40],"geometrical":[42],"structure":[43],"of":[44],"input":[46],"data.":[47],"Intra":[49],"prediction":[50,64],"problem":[51],"based":[52],"on":[53],"these":[54],"solutions":[56],"amounts":[57],"to":[58],"a":[59],"neighbor":[60,75],"embedding":[61,76,81,86],"problem.":[62],"Both":[63],"and":[65,83],"rate-distortion":[66],"performances":[67],"are":[68],"then":[69],"given":[70],"in":[71],"comparison":[72],"other":[74],"like":[78],"locally":[79,84],"linear":[80,85],"(LLE)":[82],"low":[88],"dimensional":[89],"neigborhood":[90],"representation":[91],"(LLE-LDNR).":[92]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}