{"id":"https://openalex.org/W2097676679","doi":"https://doi.org/10.5555/2627435.2697053","title":"Efficient occlusive components analysis","display_name":"Efficient occlusive components analysis","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2097676679","doi":"https://doi.org/10.5555/2627435.2697053","mag":"2097676679"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://jmlr.csail.mit.edu/papers/volume15/henniges14a/henniges14a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":[],"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/A5065308067","display_name":"Marc Henniges","orcid":null},"institutions":[{"id":"https://openalex.org/I2801628138","display_name":"Frankfurt Institute for Advanced Studies","ror":"https://ror.org/05vmv8m79","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2801628138"]},{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Henniges","raw_affiliation_strings":["Frankfurt Institute for Advanced Studies, Goethe-University Frankfurt, Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt Institute for Advanced Studies, Goethe-University Frankfurt, Frankfurt, Germany","institution_ids":["https://openalex.org/I2801628138","https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108284020","display_name":"Richard E. Turner","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard E. Turner","raw_affiliation_strings":["Dept of Engineering, University of Cambridge, Cambridge, UK."],"affiliations":[{"raw_affiliation_string":"Dept of Engineering, University of Cambridge, Cambridge, UK.","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035341421","display_name":"Maneesh Sahani","orcid":"https://orcid.org/0000-0001-5560-3341"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maneesh Sahani","raw_affiliation_strings":["Univ. College London London UK"],"affiliations":[{"raw_affiliation_string":"Univ. College London London UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039532032","display_name":"Julian Eggert","orcid":"https://orcid.org/0000-0003-4437-6133"},"institutions":[{"id":"https://openalex.org/I1283473643","display_name":"Honda (Japan)","ror":"https://ror.org/03jzay846","country_code":"JP","type":"company","lineage":["https://openalex.org/I1283473643"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Julian Eggert","raw_affiliation_strings":["Honda Res. Inst. Europe GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"Honda Res. Inst. Europe GmbH, Germany","institution_ids":["https://openalex.org/I1283473643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022797703","display_name":"J\u00f6g L\u00fccke","orcid":null},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]},{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I2801628138","display_name":"Frankfurt Institute for Advanced Studies","ror":"https://ror.org/05vmv8m79","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2801628138"]},{"id":"https://openalex.org/I4210144375","display_name":"Hearing4all","ror":"https://ror.org/0393vzh87","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210144375"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6g L\u00fccke","raw_affiliation_strings":["Cluster of Excellence Hearing4all and Faculty VI, University of Oldenburg, Oldenburg, Germany and Frankfurt Institute for Advanced Studies, Goethe-University Frankfurt, Frankfurt, Germany and Elec ...#TAB#"],"affiliations":[{"raw_affiliation_string":"Cluster of Excellence Hearing4all and Faculty VI, University of Oldenburg, Oldenburg, Germany and Frankfurt Institute for Advanced Studies, Goethe-University Frankfurt, Frankfurt, Germany and Elec ...#TAB#","institution_ids":["https://openalex.org/I129877168","https://openalex.org/I114090438","https://openalex.org/I2801628138","https://openalex.org/I4210144375"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.225,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.763177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"15","issue":"1","first_page":"2689","last_page":"2722"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9975,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9975,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9947,"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":0.9906,"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/generative-model","display_name":"Generative model","score":0.585253},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.45793724}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995037},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.585253},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5327295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5141292},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49555194},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.48775297},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.45793724},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4483659},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4408082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42826915},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42050362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40918344},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3475763},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16642508},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14501548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://jmlr.csail.mit.edu/papers/volume15/henniges14a/henniges14a.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W1510801053","https://openalex.org/W1534417711","https://openalex.org/W1545527235","https://openalex.org/W1562453744","https://openalex.org/W1593784033","https://openalex.org/W1902027874","https://openalex.org/W191001584","https://openalex.org/W1969597655","https://openalex.org/W2007463795","https://openalex.org/W2042912927","https://openalex.org/W2044784704","https://openalex.org/W2059277419","https://openalex.org/W2061209832","https://openalex.org/W2076213389","https://openalex.org/W2077910828","https://openalex.org/W2106884367","https://openalex.org/W2112035340","https://openalex.org/W2117824861","https://openalex.org/W2118718620","https://openalex.org/W2126964567","https://openalex.org/W2128209899","https://openalex.org/W2128514094","https://openalex.org/W2135265773","https://openalex.org/W2136981284","https://openalex.org/W2137466647","https://openalex.org/W2142275560","https://openalex.org/W2142968460","https://openalex.org/W2145734611","https://openalex.org/W2145889472","https://openalex.org/W2147336195","https://openalex.org/W2151103935","https://openalex.org/W2153443573","https://openalex.org/W2159504252","https://openalex.org/W2161164955","https://openalex.org/W2166676140","https://openalex.org/W2170092788","https://openalex.org/W2171145682","https://openalex.org/W2567948266","https://openalex.org/W47239786"],"related_works":["https://openalex.org/W2963873208","https://openalex.org/W2567948266","https://openalex.org/W2170417400","https://openalex.org/W2169392194","https://openalex.org/W2166623440","https://openalex.org/W2164635842","https://openalex.org/W2161164955","https://openalex.org/W2141522908","https://openalex.org/W2138448681","https://openalex.org/W2131878461","https://openalex.org/W2128209899","https://openalex.org/W2125964828","https://openalex.org/W2121424729","https://openalex.org/W2114343845","https://openalex.org/W2103337693","https://openalex.org/W2047287907","https://openalex.org/W1994625034","https://openalex.org/W1992828213","https://openalex.org/W1827809070","https://openalex.org/W1562453744"],"abstract_inverted_index":{"We":[0,61],"study":[1],"unsupervised":[2],"learning":[3,84],"in":[4,25,35,52,76,148],"a":[5,95,126],"probabilistic":[6],"generative":[7,160],"model":[8,12,54],"for":[9],"occlusion.":[10],"The":[11,153],"uses":[13],"two":[14],"types":[15],"of":[16,47,74,116,129,177],"latent":[17],"variables:":[18],"one":[19,80],"indicates":[20],"which":[21,77,169],"objects":[22,49,78],"are":[23,33],"present":[24],"the":[26,29,43,48,53,59,64,113,130,144,150,158,175],"image,":[27],"and":[28,45,122,136],"other":[30],"how":[31,42],"they":[32],"ordered":[34],"depth.":[36],"This":[37],"depth":[38],"order":[39],"then":[40],"determines":[41],"positions":[44],"appearances":[46],"present,":[50],"specified":[51],"parameters,":[55],"combine":[56],"to":[57,99,165,174],"form":[58],"image.":[60],"show":[62,142],"that":[63,109,143,157],"object":[65,117],"parameters":[66,118],"can":[67,89,162],"be":[68,90,163],"learned":[69],"from":[70],"an":[71],"unlabeled":[72],"set":[73,115],"images":[75],"occlude":[79],"another.":[81],"Exact":[82],"maximum-likelihood":[83],"is":[85,107],"intractable.":[86],"Tractable":[87],"approximations":[88,111],"derived,":[91],"however,":[92],"by":[93],"applying":[94],"truncated":[96],"variational":[97],"approach":[98,155,161],"Expectation":[100],"Maximization":[101],"(EM).":[102],"In":[103],"numerical":[104],"experiments":[105,137],"it":[106],"shown":[108],"these":[110],"recover":[112],"underlying":[114],"including":[119],"data":[120],"noise":[121],"sparsity.":[123],"Experiments":[124],"on":[125,138,172],"novel":[127],"version":[128],"bars":[131],"test":[132],"using":[133],"colored":[134],"bars,":[135],"more":[139],"realistic":[140],"data,":[141],"algorithm":[145],"performs":[146],"well":[147],"extracting":[149],"generating":[151],"components.":[152],"studied":[154],"demonstrates":[156],"multiple-causes":[159],"generalized":[164],"extract":[166],"occluding":[167],"components,":[168],"links":[170],"research":[171],"occlusion":[173],"field":[176],"sparse":[178],"coding":[179],"approaches.":[180]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2097676679","counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2024-12-10T20:20:51.196940","created_date":"2016-06-24"}
