{"id":"https://openalex.org/W2702290849","doi":"https://doi.org/10.1109/icassp.2017.7952554","title":"Multimodal sparse Bayesian dictionary learning applied to multimodal data classification","display_name":"Multimodal sparse Bayesian dictionary learning applied to multimodal data classification","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2702290849","doi":"https://doi.org/10.1109/icassp.2017.7952554","mag":"2702290849"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076435461","display_name":"Igor Fedorov","orcid":"https://orcid.org/0000-0002-8204-9515"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Igor Fedorov","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San-Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San-Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar D. Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San-Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San-Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San-Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San-Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.6991,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68450405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"2237","last_page":"2241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9973000288009644,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973000288009644,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.989799976348877,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9850999712944031,"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":0.7757115364074707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499820351600647},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.6376264095306396},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6105716228485107},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5772039890289307},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.540884792804718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.520095944404602},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.48411452770233154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44501814246177673},{"id":"https://openalex.org/keywords/multimodal-learning","display_name":"Multimodal learning","score":0.4158513844013214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757115364074707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499820351600647},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.6376264095306396},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6105716228485107},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5772039890289307},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.540884792804718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.520095944404602},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.48411452770233154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44501814246177673},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.4158513844013214},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W866015105","https://openalex.org/W1848264314","https://openalex.org/W1880262756","https://openalex.org/W1973733387","https://openalex.org/W2005876975","https://openalex.org/W2008340903","https://openalex.org/W2053742104","https://openalex.org/W2054905441","https://openalex.org/W2097323375","https://openalex.org/W2106277773","https://openalex.org/W2121058967","https://openalex.org/W2127870457","https://openalex.org/W2135338342","https://openalex.org/W2145856765","https://openalex.org/W2146000945","https://openalex.org/W2148154358","https://openalex.org/W2151103935","https://openalex.org/W2152279006","https://openalex.org/W2153635508","https://openalex.org/W2160547390","https://openalex.org/W2161195301","https://openalex.org/W2255887839","https://openalex.org/W2291033212","https://openalex.org/W2397129246","https://openalex.org/W2405778879","https://openalex.org/W2511885285","https://openalex.org/W2963812643","https://openalex.org/W3168279752","https://openalex.org/W4231510805","https://openalex.org/W4285719527","https://openalex.org/W6639619044","https://openalex.org/W6712031374","https://openalex.org/W6713408018"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1778286912","https://openalex.org/W1987225540","https://openalex.org/W2099321050","https://openalex.org/W2116933539","https://openalex.org/W4245251483","https://openalex.org/W2008821896","https://openalex.org/W1992008660","https://openalex.org/W2034957211","https://openalex.org/W1982147402"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,14],"novel":[6],"multimodal":[7],"sparse":[8,16],"dictionary":[9],"learning":[10],"algorithm":[11],"based":[12],"on":[13,60],"hierarchical":[15],"Bayesian":[17],"framework.":[18],"The":[19],"framework":[20],"allows":[21],"for":[22],"enforcing":[23],"joint":[24],"sparsity":[25],"across":[26],"dictionaries":[27,46],"without":[28],"restricting":[29],"the":[30,39],"actual":[31],"entries":[32],"to":[33,44],"be":[34],"equal.":[35],"We":[36,53],"show":[37],"that":[38],"proposed":[40],"method":[41],"is":[42],"able":[43],"learn":[45],"of":[47],"higher":[48],"quality":[49],"than":[50],"existing":[51],"approaches.":[52],"validate":[54],"our":[55],"claims":[56],"with":[57],"extensive":[58],"experiments":[59],"synthetic":[61],"data":[62],"as":[63,65],"well":[64],"real-world":[66],"data.":[67]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
