{"id":"https://openalex.org/W2099749431","doi":"https://doi.org/10.1109/tip.2015.2496275","title":"Multimodal Task-Driven Dictionary Learning for Image Classification","display_name":"Multimodal Task-Driven Dictionary Learning for Image Classification","publication_year":2015,"publication_date":"2015-10-30","ids":{"openalex":"https://openalex.org/W2099749431","doi":"https://doi.org/10.1109/tip.2015.2496275","mag":"2099749431","pmid":"https://pubmed.ncbi.nlm.nih.gov/26540686"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2496275","doi":"https://doi.org/10.1109/tip.2015.2496275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2496275","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1502.01094","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Soheil Bahrampour","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]},{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soheil Bahrampour","raw_affiliation_strings":["Bosch Research and Technology Center, Palo Alto, CA, USA","Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bosch Research and Technology Center, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210120115"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nasser M. Nasrabadi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nasser M. Nasrabadi","raw_affiliation_strings":["Army Research Laboratory, Adelphi, MD, USA","Computer Science and Electrical Engineering Department, West Virginia University, Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Research Laboratory, Adelphi, MD, USA","institution_ids":["https://openalex.org/I166416128"]},{"raw_affiliation_string":"Computer Science and Electrical Engineering Department, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003487011","display_name":"Asok Ray","orcid":"https://orcid.org/0000-0003-4124-0230","observed_orcids":["https://orcid.org/0000-0003-4124-0230"]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Asok Ray","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":null,"display_name":"William Kenneth Jenkins","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Kenneth Jenkins","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":13.2414,"has_fulltext":true,"cited_by_count":163,"citation_normalized_percentile":{"value":0.99221624,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"24","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9077000021934509,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9077000021934509,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.04839999973773956,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.007199999876320362,"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/dictionary-learning","display_name":"dictionary learning","score":0.8209999799728394},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.6919999718666077},{"id":"https://openalex.org/keywords/task-based-learning","display_name":"task-based learning","score":0.7179999947547913},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.8730000257492065},{"id":"https://openalex.org/keywords/early-fusion","display_name":"feature-level fusion","score":0.8489999771118164},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.7829999923706055},{"id":"https://openalex.org/keywords/multimodal-face-recognition","display_name":"multimodal face recognition","score":0.8960000276565552},{"id":"https://openalex.org/keywords/multi-view-face-recognition","display_name":"multi-view face recognition","score":0.972000002861023},{"id":"https://openalex.org/keywords/multi-view-action-recognition","display_name":"multi-view action recognition","score":0.921999990940094},{"id":"https://openalex.org/keywords/multimodal-biometrics","display_name":"multimodal biometrics","score":0.9509999752044678},{"id":"https://openalex.org/keywords/sparse-codes","display_name":"sparse codes","score":0.6269999742507935}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7610999941825867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7523000240325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210999727249146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6563000082969666},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5587999820709229},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.47839999198913574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42980000376701355},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3840999901294708},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3621000051498413},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.34860000014305115},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.329800009727478},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.2793000042438507},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2678999900817871},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.263700008392334}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2015.2496275","doi":"https://doi.org/10.1109/tip.2015.2496275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2496275","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26540686","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26540686","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1502.01094","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.01094","pdf_url":"https://arxiv.org/pdf/1502.01094","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.718.2042","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.718.2042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mne.psu.edu/Ray/journalAsokRay/2015/266BahrampourNasrabadiRayJenkins15.pdf","raw_type":"text"},{"id":"doi:10.48550/arxiv.1502.01094","doi":"https://doi.org/10.48550/arxiv.1502.01094","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1502.01094","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1502.01094","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1502.01094","pdf_url":"https://arxiv.org/pdf/1502.01094","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2099749431.pdf","grobid_xml":"https://content.openalex.org/works/W2099749431.grobid-xml"},"referenced_works_count":76,"referenced_works":["https://openalex.org/W53494650","https://openalex.org/W114517082","https://openalex.org/W1538372379","https://openalex.org/W1593040460","https://openalex.org/W1663973292","https://openalex.org/W1788314624","https://openalex.org/W1792812020","https://openalex.org/W1818724389","https://openalex.org/W1963932623","https://openalex.org/W1967212196","https://openalex.org/W1972715665","https://openalex.org/W1983791790","https://openalex.org/W1992405901","https://openalex.org/W1995691260","https://openalex.org/W1998959036","https://openalex.org/W2005262108","https://openalex.org/W2005876975","https://openalex.org/W2008340903","https://openalex.org/W2008644337","https://openalex.org/W2018832332","https://openalex.org/W2025632878","https://openalex.org/W2027805700","https://openalex.org/W2032768707","https://openalex.org/W2036395562","https://openalex.org/W2037696125","https://openalex.org/W2043509464","https://openalex.org/W2043702520","https://openalex.org/W2048530921","https://openalex.org/W2052800689","https://openalex.org/W2061918906","https://openalex.org/W2068611653","https://openalex.org/W2074054045","https://openalex.org/W2077244209","https://openalex.org/W2082855665","https://openalex.org/W2090042335","https://openalex.org/W2096763837","https://openalex.org/W2098110139","https://openalex.org/W2101381488","https://openalex.org/W2105464873","https://openalex.org/W2113463819","https://openalex.org/W2113577207","https://openalex.org/W2113651538","https://openalex.org/W2114122776","https://openalex.org/W2114919633","https://openalex.org/W2115429828","https://openalex.org/W2122825543","https://openalex.org/W2124659975","https://openalex.org/W2125793603","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2132211083","https://openalex.org/W2132283655","https://openalex.org/W2138019504","https://openalex.org/W2144059227","https://openalex.org/W2152374199","https://openalex.org/W2152556536","https://openalex.org/W2153663612","https://openalex.org/W2157785665","https://openalex.org/W2158449659","https://openalex.org/W2160547390","https://openalex.org/W2162409952","https://openalex.org/W2163112044","https://openalex.org/W2166070055","https://openalex.org/W2168877202","https://openalex.org/W2169560406","https://openalex.org/W2294512729","https://openalex.org/W2912990735","https://openalex.org/W2913535645","https://openalex.org/W2914746235","https://openalex.org/W2994340921","https://openalex.org/W2996852294","https://openalex.org/W3098351657","https://openalex.org/W3100316037","https://openalex.org/W4212863985","https://openalex.org/W4239943352","https://openalex.org/W6650094442"],"related_works":["https://openalex.org/W7097969694","https://openalex.org/W2512271051","https://openalex.org/W2553768359","https://openalex.org/W2905213506","https://openalex.org/W2797856769","https://openalex.org/W4205865775","https://openalex.org/W2724742926","https://openalex.org/W2284314459","https://openalex.org/W2702290849","https://openalex.org/W1989073281"],"abstract_inverted_index":{"Dictionary":[0],"learning":[1,64,188],"algorithms":[2,155],"have":[3,38],"been":[4],"successfully":[5],"used":[6],"for":[7,33,112,156],"both":[8],"reconstructive":[9],"and":[10,135,173,209],"discriminative":[11,101],"tasks,":[12],"where":[13],"an":[14,125],"input":[15],"signal":[16],"is":[17,159,178],"represented":[18],"with":[19,91,183,205],"a":[20,60,113,132],"sparse":[21,49],"linear":[22],"combination":[23],"of":[24,42,51,79,127,144,152],"dictionary":[25,63,187],"atoms.":[26],"While":[27],"these":[28],"methods":[29],"are":[30,88,110,193],"mostly":[31],"developed":[32],"single-modality":[34],"scenarios,":[35],"recent":[36],"studies":[37],"demonstrated":[39],"the":[40,47,52,67,85,107,128,145,153,184,190,198],"advantages":[41],"feature-level":[43],"fusion":[44,143],"based":[45],"on":[46,161],"joint":[48,68,134],"representation":[50],"multimodal":[53,61,86,97,157,174],"inputs.":[54],"In":[55,81],"this":[56,82],"paper,":[57],"we":[58,123],"propose":[59],"task-driven":[62,83,191],"algorithm":[65],"under":[66],"sparsity":[69,137],"constraint":[70],"(prior)":[71],"to":[72],"enforce":[73],"collaborations":[74],"among":[75],"multiple":[76],"homogeneous/heterogeneous":[77],"sources":[78],"information.":[80],"formulation,":[84],"dictionaries":[87,98,208],"learned":[89],"simultaneously":[90],"their":[92],"corresponding":[93],"classifiers.":[94],"The":[95,150],"resulting":[96],"can":[99,202],"generate":[100],"latent":[102],"features":[103],"(sparse":[104],"codes)":[105],"from":[106],"data":[108],"that":[109,200],"optimized":[111],"given":[114],"task":[115],"such":[116],"as":[117],"binary":[118],"or":[119],"multiclass":[120],"classification.":[121],"Moreover,":[122],"present":[124],"extension":[126],"proposed":[129,154],"formulation":[130],"using":[131],"mixed":[133],"independent":[136],"prior,":[138],"which":[139],"facilitates":[140],"more":[141,194,206],"flexible":[142],"modalities":[146],"at":[147],"feature":[148],"level.":[149],"efficacy":[151],"classification":[158],"illustrated":[160],"four":[162],"different":[163],"applications--multimodal":[164],"face":[165,168],"recognition,":[166,169,172],"multi-view":[167,170],"action":[171],"biometric":[175],"recognition.":[176],"It":[177],"also":[179],"shown":[180],"that,":[181],"compared":[182],"counterpart":[185],"reconstructive-based":[186],"algorithms,":[189],"formulations":[192],"computationally":[195],"efficient":[196],"in":[197],"sense":[199],"they":[201],"be":[203],"equipped":[204],"compact":[207],"still":[210],"achieve":[211],"superior":[212],"performance.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":27},{"year":2018,"cited_by_count":29},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":4}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}