{"id":"https://openalex.org/W2077043782","doi":"https://doi.org/10.1109/ijcnn.2014.6889402","title":"Supervised Bayesian sparse coding for classification","display_name":"Supervised Bayesian sparse coding for classification","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2077043782","doi":"https://doi.org/10.1109/ijcnn.2014.6889402","mag":"2077043782"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5100768354","display_name":"Jinhua Xu","orcid":"https://orcid.org/0000-0002-8450-3144"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinhua Xu","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai","Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006126332","display_name":"Li Ding","orcid":"https://orcid.org/0000-0003-1855-8574"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ding","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai","Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047846625","display_name":"Shiliang Sun","orcid":"https://orcid.org/0000-0001-7069-3752"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiliang Sun","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai","Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China#TAB#","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100768354"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13934379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"54","issue":null,"first_page":"319","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9908999800682068,"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":0.9908999800682068,"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/T10057","display_name":"Face and Expression Recognition","score":0.9821000099182129,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.823688268661499},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6671478748321533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.636442244052887},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6120388507843018},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6029915809631348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5517527461051941},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5494227409362793},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5371651649475098},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4199308753013611},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31793004274368286},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09137505292892456}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.823688268661499},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6671478748321533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636442244052887},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6120388507843018},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6029915809631348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5517527461051941},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5494227409362793},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5371651649475098},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4199308753013611},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31793004274368286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09137505292892456}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639205600","https://openalex.org/W1963932623","https://openalex.org/W1966955246","https://openalex.org/W1970554427","https://openalex.org/W1972715665","https://openalex.org/W1986931325","https://openalex.org/W1992405901","https://openalex.org/W2006296645","https://openalex.org/W2020925091","https://openalex.org/W2023630749","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2040296279","https://openalex.org/W2052575990","https://openalex.org/W2054981189","https://openalex.org/W2082855665","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2103215959","https://openalex.org/W2105464873","https://openalex.org/W2107861471","https://openalex.org/W2113328646","https://openalex.org/W2113606819","https://openalex.org/W2115429828","https://openalex.org/W2122922389","https://openalex.org/W2126976013","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2130951397","https://openalex.org/W2133858838","https://openalex.org/W2134563198","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2140245639","https://openalex.org/W2144759647","https://openalex.org/W2146047955","https://openalex.org/W2148154358","https://openalex.org/W2157639439","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2163112044","https://openalex.org/W2536599074","https://openalex.org/W2953139536","https://openalex.org/W3105034597","https://openalex.org/W4232730838","https://openalex.org/W6620727959","https://openalex.org/W6664215670","https://openalex.org/W6674642818","https://openalex.org/W6676903177","https://openalex.org/W6678757208","https://openalex.org/W6679006539","https://openalex.org/W6679570432","https://openalex.org/W6679809621","https://openalex.org/W6681380847","https://openalex.org/W6681521150","https://openalex.org/W6683265229"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2144332008","https://openalex.org/W2349204598","https://openalex.org/W2065031478"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,25,66],"supervised":[6],"Bayesian":[7],"sparse":[8,15,55,77],"coding":[9,16,56],"(SBSC)":[10],"model":[11,83],"for":[12],"classification.":[13],"The":[14],"with":[17],"Laplacian":[18],"scale":[19],"mixture":[20],"prior":[21],"is":[22,58,69],"formulated":[23],"as":[24],"weighted":[26],"l":[27],"<sub":[28],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[29],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[30],"minimization":[31],"problem.":[32],"Category-specific":[33],"discriminative":[34],"dictionaries":[35],"and":[36,88],"regularization":[37],"parameters":[38],"are":[39],"learned":[40],"using":[41,71],"variational":[42],"EM":[43],"algorithm":[44],"from":[45],"the":[46,61,72,76,82,90,93],"training":[47],"samples":[48],"of":[49,53,65,75,92],"each":[50],"category.":[51],"Instability":[52],"previous":[54],"methods":[57],"alleviated":[59],"through":[60],"regularizer":[62],"design.":[63],"Classification":[64],"test":[67],"sample":[68],"done":[70],"MAP":[73],"estimate":[74],"codes.":[78],"We":[79],"have":[80],"tested":[81],"on":[84],"different":[85],"recognition":[86],"tasks":[87],"demonstrated":[89],"effectiveness":[91],"model.":[94]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
