{"id":"https://openalex.org/W2050460554","doi":"https://doi.org/10.1109/tsp.2013.2274276","title":"Kernelized Supervised Dictionary Learning","display_name":"Kernelized Supervised Dictionary Learning","publication_year":2013,"publication_date":"2013-07-24","ids":{"openalex":"https://openalex.org/W2050460554","doi":"https://doi.org/10.1109/tsp.2013.2274276","mag":"2050460554"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2013.2274276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2274276","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1207.2488","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031884787","display_name":"Mehrdad J. Gangeh","orcid":"https://orcid.org/0000-0002-2907-3014"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mehrdad J. Gangeh","raw_affiliation_strings":["University of Toronto, Toronto, ON, CA","Dept. of Med. Biophys., Univ. of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, CA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Med. Biophys., Univ. of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040035859","display_name":"Ali Ghodsi","orcid":"https://orcid.org/0000-0003-1866-246X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Ghodsi","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ONT, Canada","Dept. of Stat. & Actuarial Sci., Univ. of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Dept. of Stat. & Actuarial Sci., Univ. of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed S. Kamel","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]"],"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031884787"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":9.0484,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98391762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"61","issue":"19","first_page":"4753","last_page":"4767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10860","display_name":"Speech and Audio Processing","score":0.9984999895095825,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7262898683547974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096371650695801},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5940377712249756},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5919888615608215},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5901699066162109},{"id":"https://openalex.org/keywords/reproducing-kernel-hilbert-space","display_name":"Reproducing kernel Hilbert space","score":0.5491243004798889},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5329960584640503},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5242355465888977},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.48881885409355164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48724642395973206},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4405940771102905},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4333130121231079},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.2720126807689667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23307165503501892},{"id":"https://openalex.org/keywords/hilbert-space","display_name":"Hilbert space","score":0.22883015871047974},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21193355321884155},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17787110805511475}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7262898683547974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096371650695801},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5940377712249756},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5919888615608215},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5901699066162109},{"id":"https://openalex.org/C80884492","wikidata":"https://www.wikidata.org/wiki/Q3345678","display_name":"Reproducing kernel Hilbert space","level":3,"score":0.5491243004798889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5329960584640503},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5242355465888977},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48881885409355164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48724642395973206},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4405940771102905},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4333130121231079},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.2720126807689667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23307165503501892},{"id":"https://openalex.org/C62799726","wikidata":"https://www.wikidata.org/wiki/Q190056","display_name":"Hilbert space","level":2,"score":0.22883015871047974},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21193355321884155},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17787110805511475},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2013.2274276","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2274276","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1207.2488","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.2488","pdf_url":"https://arxiv.org/pdf/1207.2488","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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:uwspace.uwaterloo.ca:10012/7455","is_oa":false,"landing_page_url":"http://hdl.handle.net/10012/7455","pdf_url":null,"source":{"id":"https://openalex.org/S4306401661","display_name":"UWSpace (University of Waterloo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I151746483","host_organization_name":"University of Waterloo","host_organization_lineage":["https://openalex.org/I151746483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Doctoral Thesis"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1207.2488","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1207.2488","pdf_url":"https://arxiv.org/pdf/1207.2488","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":157,"referenced_works":["https://openalex.org/W78344352","https://openalex.org/W147964346","https://openalex.org/W158626325","https://openalex.org/W199958122","https://openalex.org/W226708447","https://openalex.org/W228380312","https://openalex.org/W283029246","https://openalex.org/W1480708938","https://openalex.org/W1484157204","https://openalex.org/W1484228140","https://openalex.org/W1501669607","https://openalex.org/W1536302525","https://openalex.org/W1548802052","https://openalex.org/W1553085054","https://openalex.org/W1569455036","https://openalex.org/W1588424744","https://openalex.org/W1589514602","https://openalex.org/W1603280211","https://openalex.org/W1638081485","https://openalex.org/W1638570163","https://openalex.org/W1814906753","https://openalex.org/W1817149645","https://openalex.org/W1836015656","https://openalex.org/W1902027874","https://openalex.org/W1965555277","https://openalex.org/W1966872876","https://openalex.org/W1969386661","https://openalex.org/W1976709621","https://openalex.org/W1978753906","https://openalex.org/W1980686351","https://openalex.org/W1986560547","https://openalex.org/W1986931325","https://openalex.org/W1992405901","https://openalex.org/W1993962865","https://openalex.org/W1994530392","https://openalex.org/W1996355918","https://openalex.org/W1998281333","https://openalex.org/W2001619934","https://openalex.org/W2002612623","https://openalex.org/W2006151125","https://openalex.org/W2010281224","https://openalex.org/W2024997154","https://openalex.org/W2025075061","https://openalex.org/W2025341678","https://openalex.org/W2026512625","https://openalex.org/W2027805700","https://openalex.org/W2032254851","https://openalex.org/W2032533296","https://openalex.org/W2032768707","https://openalex.org/W2035225306","https://openalex.org/W2043152858","https://openalex.org/W2043181832","https://openalex.org/W2048679005","https://openalex.org/W2053667957","https://openalex.org/W2054279472","https://openalex.org/W2056636001","https://openalex.org/W2056960117","https://openalex.org/W2057086688","https://openalex.org/W2064605643","https://openalex.org/W2069959554","https://openalex.org/W2079724595","https://openalex.org/W2082855665","https://openalex.org/W2083759082","https://openalex.org/W2097360283","https://openalex.org/W2103943262","https://openalex.org/W2104170135","https://openalex.org/W2106115875","https://openalex.org/W2108082645","https://openalex.org/W2112447569","https://openalex.org/W2112478811","https://openalex.org/W2114122776","https://openalex.org/W2115549875","https://openalex.org/W2116495282","https://openalex.org/W2117061938","https://openalex.org/W2117756735","https://openalex.org/W2118045473","https://openalex.org/W2119862467","https://openalex.org/W2121058967","https://openalex.org/W2121627225","https://openalex.org/W2122922389","https://openalex.org/W2124735751","https://openalex.org/W2125127226","https://openalex.org/W2125614842","https://openalex.org/W2125865219","https://openalex.org/W2126552487","https://openalex.org/W2128448396","https://openalex.org/W2128638419","https://openalex.org/W2128659236","https://openalex.org/W2128859735","https://openalex.org/W2129812935","https://openalex.org/W2130951397","https://openalex.org/W2132555391","https://openalex.org/W2134954158","https://openalex.org/W2135046866","https://openalex.org/W2135776491","https://openalex.org/W2136884564","https://openalex.org/W2137334613","https://openalex.org/W2139427956","https://openalex.org/W2139710299","https://openalex.org/W2140351517","https://openalex.org/W2140801466","https://openalex.org/W2141303268","https://openalex.org/W2142742813","https://openalex.org/W2144221002","https://openalex.org/W2145310492","https://openalex.org/W2145544165","https://openalex.org/W2145889472","https://openalex.org/W2146047955","https://openalex.org/W2147634797","https://openalex.org/W2148551591","https://openalex.org/W2151155403","https://openalex.org/W2151693816","https://openalex.org/W2151768982","https://openalex.org/W2152100107","https://openalex.org/W2152322845","https://openalex.org/W2152548630","https://openalex.org/W2153663612","https://openalex.org/W2154579312","https://openalex.org/W2155231285","https://openalex.org/W2156848952","https://openalex.org/W2157297238","https://openalex.org/W2157656721","https://openalex.org/W2157785665","https://openalex.org/W2159965377","https://openalex.org/W2160547390","https://openalex.org/W2163112044","https://openalex.org/W2163352848","https://openalex.org/W2163398148","https://openalex.org/W2163808566","https://openalex.org/W2164996087","https://openalex.org/W2293888570","https://openalex.org/W2296616510","https://openalex.org/W2405179204","https://openalex.org/W2478708596","https://openalex.org/W2765801977","https://openalex.org/W2950592641","https://openalex.org/W2953139536","https://openalex.org/W2993845287","https://openalex.org/W3097096317","https://openalex.org/W3098745759","https://openalex.org/W4205778870","https://openalex.org/W4235713725","https://openalex.org/W4239269065","https://openalex.org/W4241722382","https://openalex.org/W4250955649","https://openalex.org/W4255521522","https://openalex.org/W4285719527","https://openalex.org/W4294541781","https://openalex.org/W6610308907","https://openalex.org/W6634941687","https://openalex.org/W6675679986","https://openalex.org/W6676515226","https://openalex.org/W6676727762","https://openalex.org/W6678757208","https://openalex.org/W6681474176","https://openalex.org/W6681521150","https://openalex.org/W6682464122"],"related_works":["https://openalex.org/W4248396893","https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W3118393464","https://openalex.org/W1975708617","https://openalex.org/W3101749733","https://openalex.org/W3131787954","https://openalex.org/W2271357838"],"abstract_inverted_index":{"In":[0],"this":[1,22,47,65],"paper,":[2],"we":[3,24],"propose":[4,25],"supervised":[5,112],"dictionary":[6,29,95,113],"learning":[7,17,114],"(SDL)":[8],"by":[9,77],"incorporating":[10,78],"information":[11],"on":[12],"class":[13],"labels":[14,42],"into":[15,90],"the":[16,19,28,34,37,49,61,91,99,117],"of":[18,60,64],"dictionary.":[20],"To":[21,45],"end,":[23],"to":[26],"learn":[27],"in":[30,116],"a":[31,79,82],"space":[32],"where":[33],"dependency":[35],"between":[36],"signals":[38],"and":[39,98,111],"their":[40],"corresponding":[41],"is":[43,57,70,96,102],"maximized.":[44],"maximize":[46],"dependency,":[48],"recently":[50],"introduced":[51],"Hilbert":[52],"Schmidt":[53],"independence":[54],"criterion":[55],"(HSIC)":[56],"used.":[58],"One":[59],"main":[62],"advantages":[63],"novel":[66],"approach":[67,101],"for":[68],"SDL":[69],"that":[71,106],"it":[72,107],"can":[73],"be":[74],"easily":[75],"kernelized":[76],"kernel,":[80],"particularly":[81],"data-dependent":[83],"kernel":[84],"such":[85],"as":[86],"normalized":[87],"compression":[88],"distance,":[89],"formulation.":[92],"The":[93],"learned":[94],"compact":[97],"proposed":[100],"fast.":[103],"We":[104],"show":[105],"outperforms":[108],"other":[109],"unsupervised":[110],"approaches":[115],"literature,":[118],"using":[119],"real-world":[120],"data.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":6}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2025-10-10T00:00:00"}
