{"id":"https://openalex.org/W2145645607","doi":"https://doi.org/10.1109/icassp.2012.6288339","title":"Online Bayesian dictionary learning for large datasets","display_name":"Online Bayesian dictionary learning for large datasets","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2145645607","doi":"https://doi.org/10.1109/icassp.2012.6288339","mag":"2145645607"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288339","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":"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/A5043243748","display_name":"Lingbo Li","orcid":"https://orcid.org/0009-0008-8001-5603"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lingbo Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450941","display_name":"Jorge Silva","orcid":"https://orcid.org/0000-0001-9959-4272"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jorge Silva","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010394308","display_name":"Mingyuan Zhou","orcid":"https://orcid.org/0000-0002-4253-2780"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyuan Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043243748"],"corresponding_institution_ids":["https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":1.399,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81904862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2157","last_page":"2160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8055464625358582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.680669903755188},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6135936379432678},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5773833990097046},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.575507402420044},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5499722957611084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.542993426322937},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5213593244552612},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4155050814151764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4007747769355774},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08345675468444824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055464625358582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680669903755188},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6135936379432678},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5773833990097046},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.575507402420044},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5499722957611084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.542993426322937},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5213593244552612},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4155050814151764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4007747769355774},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08345675468444824}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288339","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:CiteSeerX.psu:10.1.1.308.8640","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.8640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.ee.duke.edu/~mz1/Papers/ICASSP_2012_v4.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1517266559","https://openalex.org/W1986931325","https://openalex.org/W1989975849","https://openalex.org/W2078204800","https://openalex.org/W2086962710","https://openalex.org/W2105464873","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2114122776","https://openalex.org/W2117111086","https://openalex.org/W2140433132","https://openalex.org/W2153663612","https://openalex.org/W2165599843","https://openalex.org/W2171911691","https://openalex.org/W2172085063","https://openalex.org/W6631033597","https://openalex.org/W6646990050","https://openalex.org/W6672049469","https://openalex.org/W6676727762","https://openalex.org/W6681029311","https://openalex.org/W6684489972"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672"],"abstract_inverted_index":{"The":[0,40],"problem":[1],"of":[2,12,37,52,87,103,105],"learning":[3,30,71],"a":[4,8,19],"data-adaptive":[5],"dictionary":[6,32,64],"for":[7,28,61],"very":[9,78],"large":[10,79,98],"collection":[11],"signals":[13],"is":[14,73,93],"addressed.":[15],"This":[16],"paper":[17],"proposes":[18],"statistical":[20],"model":[21,41],"and":[22,33,56,65],"associated":[23],"variational":[24],"Bayesian":[25],"(VB)":[26],"inference":[27],"simultaneously":[29],"the":[31,38,50,63,66,85],"performing":[34],"sparse":[35],"coding":[36],"signals.":[39,67],"builds":[42],"upon":[43],"beta":[44],"process":[45],"factor":[46],"analysis":[47],"(BPFA),":[48],"with":[49,97],"number":[51],"factors":[53],"automatically":[54],"inferred,":[55],"posterior":[57],"distributions":[58],"are":[59],"estimated":[60],"both":[62],"Crucially,":[68],"an":[69],"online":[70],"procedure":[72],"employed,":[74],"allowing":[75],"scalability":[76],"to":[77],"datasets":[80],"which":[81],"would":[82],"be":[83],"beyond":[84],"capabilities":[86],"existing":[88],"batch":[89],"methods.":[90],"State-of-the-art":[91],"performance":[92],"demonstrated":[94],"by":[95],"experiments":[96],"natural":[99],"images":[100],"containing":[101],"tens":[102],"millions":[104],"pixels.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}