{"id":"https://openalex.org/W2111578918","doi":"https://doi.org/10.1109/icassp.2003.1201753","title":"Bayesian learning for sparse signal reconstruction","display_name":"Bayesian learning for sparse signal reconstruction","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2111578918","doi":"https://doi.org/10.1109/icassp.2003.1201753","mag":"2111578918"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1201753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201753","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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/A5085016531","display_name":"David Wipf","orcid":"https://orcid.org/0000-0002-2768-4540"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D.P. Wipf","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","[Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001700017","display_name":"Bhaskar D. Rao","orcid":"https://orcid.org/0000-0001-6357-689X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B.D. Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","[Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085016531"],"corresponding_institution_ids":["https://openalex.org/I161318765","https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.2858,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.75400458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"VI","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.998199999332428,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6697289943695068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617076992988586},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6209848523139954},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4766886234283447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47222164273262024},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45256996154785156},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41188061237335205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35919293761253357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33500659465789795},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10382121801376343}],"concepts":[{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6697289943695068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617076992988586},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6209848523139954},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4766886234283447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47222164273262024},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45256996154785156},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41188061237335205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35919293761253357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33500659465789795},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10382121801376343},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1201753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201753","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1752175949","https://openalex.org/W1986931325","https://openalex.org/W2078204800","https://openalex.org/W2122315118","https://openalex.org/W2143163931","https://openalex.org/W2155665608","https://openalex.org/W2166221887","https://openalex.org/W2610857016","https://openalex.org/W2911546748","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2351655225","https://openalex.org/W2361982570","https://openalex.org/W3007307084","https://openalex.org/W2537887767","https://openalex.org/W2090582423","https://openalex.org/W1586210010","https://openalex.org/W2361176950","https://openalex.org/W2097754634","https://openalex.org/W2350208827","https://openalex.org/W4285322413"],"abstract_inverted_index":{"Sparse":[0],"Bayesian":[1,38,88],"learning":[2,89],"and":[3,26,41,93,112],"specifically":[4],"relevance":[5],"vector":[6],"machines":[7],"have":[8],"received":[9],"much":[10],"attention":[11],"as":[12],"a":[13,30,37,69],"means":[14],"of":[15,19,24,33,47,61,99,109,115],"achieving":[16],"parsimonious":[17],"representations":[18],"signals":[20],"in":[21,107],"the":[22,45,57,62,75,94],"context":[23],"regression":[25],"classification.":[27],"We":[28,81],"provide":[29],"simplified":[31],"derivation":[32],"this":[34],"paradigm":[35],"from":[36,50],"evidence":[39],"perspective":[40],"apply":[42],"it":[43],"to":[44,77],"problem":[46],"basis":[48,78,91,100],"selection":[49,79,101],"overcomplete":[51],"dictionaries.":[52],"Furthermore,":[53],"we":[54],"prove":[55],"that":[56],"stable":[58],"fixed":[59],"points":[60],"resulting":[63],"algorithm":[64],"are":[65],"necessarily":[66],"sparse,":[67],"providing":[68],"solid":[70],"theoretical":[71],"justification":[72],"for":[73],"adapting":[74],"methodology":[76],"tasks.":[80],"then":[82],"include":[83],"simulation":[84],"studies":[85],"comparing":[86],"sparse":[87],"with":[90],"pursuit":[92],"more":[95],"recent":[96],"FOCUSS":[97],"class":[98],"algorithms,":[102],"empirically":[103],"demonstrating":[104],"superior":[105],"performance":[106],"terms":[108],"average":[110],"sparsity":[111],"success":[113],"rate":[114],"recovering":[116],"generative":[117],"bases.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
