{"id":"https://openalex.org/W2295886374","doi":"https://doi.org/10.5220/0005614805550563","title":"Non-negative Matrix Factorization for Binary Data","display_name":"Non-negative Matrix Factorization for Binary Data","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2295886374","doi":"https://doi.org/10.5220/0005614805550563","mag":"2295886374"},"language":"en","primary_location":{"id":"doi:10.5220/0005614805550563","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005614805550563","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005614805550563","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101630756","display_name":"Jacob S\u00f8gaard Larsen","orcid":"https://orcid.org/0000-0001-6123-8598"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jacob S\u00f8gaard Larsen","raw_affiliation_strings":["Technical University of Denmark, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011062522","display_name":"Line Katrine Harder Clemmensen","orcid":"https://orcid.org/0000-0001-5527-5798"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Line Katrine Harder Clemmensen","raw_affiliation_strings":["Technical University of Denmark, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Denmark, Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61967579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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":0.996999979019165,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9904000163078308,"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.6249107122421265},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5634572505950928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5497860312461853},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.548012375831604},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.44939711689949036},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41041794419288635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3272946774959564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29769420623779297},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.15789109468460083},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11925587058067322},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06613489985466003}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6249107122421265},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5634572505950928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5497860312461853},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.548012375831604},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.44939711689949036},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41041794419288635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3272946774959564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29769420623779297},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.15789109468460083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11925587058067322},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06613489985466003},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0005614805550563","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005614805550563","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/b0cec194-d05d-4c4d-995c-834a156be7d3","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/b0cec194-d05d-4c4d-995c-834a156be7d3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Larsen , J S & Clemmensen , L K H 2015 , ' Non-negative Matrix Factorization for Binary Data ' , Paper presented at 7th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2015) , Lisbon , Portugal , 12/11/2015 - 14/11/2015 .","raw_type":"conferenceObject"}],"best_oa_location":{"id":"doi:10.5220/0005614805550563","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005614805550563","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1854811422","https://openalex.org/W1902027874","https://openalex.org/W2012109642","https://openalex.org/W2049526013","https://openalex.org/W2166098345","https://openalex.org/W2296319761","https://openalex.org/W2429432121","https://openalex.org/W3122703110"],"related_works":["https://openalex.org/W1973739845","https://openalex.org/W2154693897","https://openalex.org/W119752240","https://openalex.org/W104621197","https://openalex.org/W2094988397","https://openalex.org/W2018164323","https://openalex.org/W2018596126","https://openalex.org/W4242950359","https://openalex.org/W2083580028","https://openalex.org/W1980535114"],"abstract_inverted_index":{"We":[0,89,137],"propose":[1,52],"the":[2,35,60,67,76,91,94,141,150],"Logistic":[3,95],"Non-negative":[4,36,55,96,102,108],"Matrix":[5,37,56,97,103,109],"Factorization":[6,57,98,104,110],"for":[7,30,46],"decomposition":[8],"of":[9,75,93,113,121,143],"binary":[10,47,114,130],"data.":[11,72],"Binary":[12],"data":[13,25,33],"are":[14],"frequently":[15],"generated":[16],"in":[17,42,128,149],"e.g.":[18],"text":[19],"analysis,":[20],"sensory":[21,135],"data,":[22,48],"market":[23],"basket":[24],"etc.":[26],"A":[27],"common":[28],"method":[29,68,77,84],"analysing":[31],"non-negative":[32],"is":[34,41,78,145,155],"Factorization,":[38],"though":[39],"this":[40],"theory":[43],"not":[44],"appropriate":[45],"and":[49,105,133,152],"thus":[50],"we":[51,65],"a":[53,81,116,119,129,134],"novel":[54],"based":[58],"on":[59,111,124],"logistic":[61],"link":[62],"function.":[63],"Furthermore":[64],"generalize":[66],"to":[69,80,99],"handle":[70],"missing":[71],"The":[73],"formulation":[74],"compared":[79],"previously":[82],"proposed":[83],"(Tome":[85],"et":[86],"al.,":[87],"2015).":[88],"compare":[90],"performance":[92],"Least":[100],"Squares":[101],"Kullback-Leibler":[106],"(KL)":[107],"sets":[112],"data:":[115],"synthetic":[117],"dataset,":[118],"set":[120],"student":[122],"comments":[123],"their":[125],"professors":[126],"collected":[127],"term-document":[131],"matrix":[132],"dataset.":[136],"find":[138],"that":[139,154],"choosing":[140],"number":[142],"components":[144],"an":[146],"essential":[147],"part":[148],"modelling":[151],"interpretation,":[153],"still":[156],"unresolved.":[157]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}