{"id":"https://openalex.org/W1973890885","doi":"https://doi.org/10.1109/cvpr.2013.63","title":"Separable Dictionary Learning","display_name":"Separable Dictionary Learning","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1973890885","doi":"https://doi.org/10.1109/cvpr.2013.63","mag":"1973890885"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2013.63","doi":"https://doi.org/10.1109/cvpr.2013.63","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.63","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5043079217","display_name":"Simon Hawe","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Hawe","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065943708","display_name":"Matthias Seibert","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Seibert","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055847035","display_name":"Martin Kleinsteuber","orcid":"https://orcid.org/0000-0002-4323-9260","observed_orcids":["https://orcid.org/0000-0002-4323-9260"]},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Kleinsteuber","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, Technische Universit\u00e4t M\u00fcnchen, Munchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Dept. of Electr. Eng. & Inf. Technol., Tech. Univ. M\u03c5nchen, M\u03c5\u0308nchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":9.9238,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.99110405,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.8095999956130981,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.8095999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.15479999780654907,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.004900000058114529,"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":0.875},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.9879999756813049},{"id":"https://openalex.org/keywords/image-patches","display_name":"image patches","score":0.734000027179718},{"id":"https://openalex.org/keywords/mutual-coherence","display_name":"mutual coherence","score":0.7139999866485596},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.824999988079071}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.8119924664497375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737448215484619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6238831877708435},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.6026230454444885},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5453464984893799},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5293107032775879},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5147778987884521},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5007240772247314},{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.4945826232433319},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.47021034359931946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46895092725753784},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43759089708328247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4285208582878113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14608582854270935},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2013.63","doi":"https://doi.org/10.1109/cvpr.2013.63","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2013.63","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1159842","doi":null,"is_oa":false,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1159842","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W33214042","https://openalex.org/W1482998036","https://openalex.org/W1546266651","https://openalex.org/W1565013069","https://openalex.org/W1782590233","https://openalex.org/W1804110266","https://openalex.org/W1890834058","https://openalex.org/W2008644337","https://openalex.org/W2086522948","https://openalex.org/W2086962710","https://openalex.org/W2093295721","https://openalex.org/W2099321050","https://openalex.org/W2100556411","https://openalex.org/W2102129292","https://openalex.org/W2112495313","https://openalex.org/W2115429828","https://openalex.org/W2116148865","https://openalex.org/W2132680427","https://openalex.org/W2132984323","https://openalex.org/W2133665775","https://openalex.org/W2134033146","https://openalex.org/W2142940228","https://openalex.org/W2145263492","https://openalex.org/W2150912629","https://openalex.org/W2154332973","https://openalex.org/W2160547390","https://openalex.org/W2167137033","https://openalex.org/W3098176363","https://openalex.org/W3100455090","https://openalex.org/W6601318844"],"related_works":["https://openalex.org/W2678379284","https://openalex.org/W4287726578","https://openalex.org/W2600372197","https://openalex.org/W6920312668","https://openalex.org/W2883884898","https://openalex.org/W65065553","https://openalex.org/W2356240967","https://openalex.org/W2974202824","https://openalex.org/W2103450852","https://openalex.org/W3129036490"],"abstract_inverted_index":{"Many":[0],"techniques":[1],"in":[2,61,112,153],"computer":[3],"vision,":[4],"machine":[5],"learning,":[6],"and":[7,51,85],"statistics":[8],"rely":[9],"on":[10,125,144,161],"the":[11,45,69,77,89,126,129,133,141,145,148,170,186,190],"fact":[12],"that":[13,103],"a":[14,19,35,49,53,83,122,164,173],"signal":[15,50],"of":[16,48,72,166],"interest":[17],"admits":[18],"sparse":[20],"representation":[21],"over":[22,163],"some":[23],"dictionary.":[24],"Dictionaries":[25],"are":[26,65],"either":[27],"available":[28],"analytically,":[29],"or":[30],"can":[31],"be":[32],"learned":[33,56],"from":[34],"suitable":[36],"training":[37],"set.":[38],"While":[39],"analytic":[40],"dictionaries":[41,57],"permit":[42],"to":[43,68,96],"capture":[44,105],"global":[46],"structure":[47,124,196],"allow":[52],"fast":[54],"implementation,":[55],"often":[58],"perform":[59],"better":[60],"applications":[62],"as":[63,172,181],"they":[64],"more":[66],"adapted":[67],"considered":[70],"class":[71],"signals.":[73],"In":[74,189],"imagery,":[75],"unfortunately,":[76],"numerical":[78],"burden":[79],"for":[80,86,91,140],"(i)":[81],"learning":[82,130,142,157,187,205],"dictionary":[84,90,127,149,171,178,204],"(ii)":[87],"employing":[88],"reconstruction":[92,154],"tasks":[93],"only":[94,104],"allows":[95],"deal":[97],"with":[98,202],"relatively":[99],"small":[100],"image":[101,107],"patches":[102],"local":[106],"information.":[108],"The":[109,156],"approach":[110],"presented":[111],"this":[113,136],"paper":[114],"aims":[115],"at":[116],"overcoming":[117],"these":[118],"drawbacks":[119],"by":[120],"allowing":[121],"separable":[123,195],"throughout":[128],"process.":[131],"On":[132],"one":[134],"hand,":[135,147],"permits":[137],"larger":[138],"patch-sizes":[139],"phase,":[143],"other":[146],"is":[150,159,197],"applied":[151],"efficiently":[152],"tasks.":[155],"procedure":[158],"based":[160],"optimizing":[162],"product":[165],"spheres":[167],"which":[168],"updates":[169],"whole,":[174],"thus":[175],"enforces":[176],"basic":[177],"properties":[179],"such":[180],"mutual":[182],"coherence":[183],"explicitly":[184],"during":[185],"procedure.":[188],"special":[191],"case":[192],"where":[193],"no":[194],"enforced,":[198],"our":[199],"method":[200],"competes":[201],"state-of-the-art":[203],"methods":[206],"like":[207],"K-SVD.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}