{"id":"https://openalex.org/W1946953458","doi":"https://doi.org/10.1109/cvpr.2015.7299149","title":"Fast and flexible convolutional sparse coding","display_name":"Fast and flexible convolutional sparse coding","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1946953458","doi":"https://doi.org/10.1109/cvpr.2015.7299149","mag":"1946953458"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299149","doi":"https://doi.org/10.1109/cvpr.2015.7299149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299149","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":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10754/556538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059313827","display_name":"Felix Heide","orcid":"https://orcid.org/0000-0002-8054-9823","observed_orcids":["https://orcid.org/0000-0002-8054-9823"]},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"Felix Heide","raw_affiliation_strings":["Stanford University, UBC","Stanford University, UBC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, UBC","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, UBC, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073712698","display_name":"Wolfgang Heidrich","orcid":"https://orcid.org/0000-0002-4227-8508","observed_orcids":["https://orcid.org/0000-0002-4227-8508"]},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["CA","SA"],"is_corresponding":false,"raw_author_name":"Wolfgang Heidrich","raw_affiliation_strings":["KAUST, UBC","KAUST, UBC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAUST, UBC","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I71920554"]},{"raw_affiliation_string":"KAUST, UBC, USA","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014044649","display_name":"Gordon Wetzstein","orcid":"https://orcid.org/0000-0002-9243-6885","observed_orcids":["https://orcid.org/0000-0002-9243-6885"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon Wetzstein","raw_affiliation_strings":["Stanford University","Stanford University - USA >  >  >  >"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University - USA >  >  >  >","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.8064,"has_fulltext":false,"cited_by_count":255,"citation_normalized_percentile":{"value":0.99892556,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5135","last_page":"5143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.7246000170707703,"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":0.7246000170707703,"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":0.09040000289678574,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.05829999968409538,"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/convolutional-sparse-coding","display_name":"convolutional sparse coding","score":1.0},{"id":"https://openalex.org/keywords/image-feature-learning","display_name":"image feature learning","score":0.6539999842643738},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.6470000147819519},{"id":"https://openalex.org/keywords/boundary-conditions","display_name":"boundary conditions","score":0.593999981880188},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.9350000023841858},{"id":"https://openalex.org/keywords/convergence-rate","display_name":"convergence rate","score":0.6050000190734863},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.40799999237060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806684136390686},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7286679744720459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148125529289246},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6114562749862671},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5910570025444031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5286771655082703},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44783923029899597},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.41144225001335144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26158764958381653},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.16068759560585022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11144685745239258},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7299149","doi":"https://doi.org/10.1109/cvpr.2015.7299149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299149","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":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/556538","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10754/556538","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:repository.kaust.edu.sa:10754/556538","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10754/556538","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1551494903","https://openalex.org/W1603508051","https://openalex.org/W1791038712","https://openalex.org/W1971646136","https://openalex.org/W1974331381","https://openalex.org/W1976709621","https://openalex.org/W2005876975","https://openalex.org/W2018990310","https://openalex.org/W2070145771","https://openalex.org/W2074502458","https://openalex.org/W2077970850","https://openalex.org/W2105464873","https://openalex.org/W2117259536","https://openalex.org/W2119967924","https://openalex.org/W2134905716","https://openalex.org/W2141200610","https://openalex.org/W2164278908","https://openalex.org/W2169488311","https://openalex.org/W2172275395","https://openalex.org/W2293078015","https://openalex.org/W2408231975","https://openalex.org/W2913535645","https://openalex.org/W2963909185","https://openalex.org/W3123607434","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2700340246","https://openalex.org/W2048878808","https://openalex.org/W2117259536","https://openalex.org/W6991105858","https://openalex.org/W2981188038","https://openalex.org/W2998320011","https://openalex.org/W2766452532","https://openalex.org/W4407163336","https://openalex.org/W4223437358","https://openalex.org/W2202656999"],"abstract_inverted_index":{"Convolutional":[0],"sparse":[1,35],"coding":[2,36],"(CSC)":[3],"has":[4],"become":[5],"an":[6],"increasingly":[7],"important":[8],"tool":[9],"in":[10],"machine":[11],"learning":[12,104],"and":[13,21,26,61,69,99],"computer":[14],"vision.":[15],"Image":[16],"features":[17],"can":[18],"be":[19,97],"learned":[20],"subsequently":[22],"used":[23],"for":[24,92],"classification":[25],"reconstruction":[27,112],"tasks.":[28],"As":[29],"opposed":[30],"to":[31,57,90,96],"patch-based":[32],"methods,":[33],"convolutional":[34],"operates":[37],"on":[38],"whole":[39],"images,":[40],"thereby":[41],"seamlessly":[42],"capturing":[43],"the":[44,75,78,82,86],"correlation":[45],"between":[46],"local":[47],"neighborhoods.":[48],"In":[49,80],"this":[50],"paper,":[51],"we":[52],"propose":[53],"a":[54],"new":[55],"approach":[56,89],"solving":[58],"CSC":[59],"problems":[60],"show":[62],"that":[63],"our":[64],"method":[65,84],"converges":[66],"significantly":[67],"faster":[68],"also":[70,101],"finds":[71],"better":[72],"solutions":[73],"than":[74],"state":[76],"of":[77],"art.":[79],"addition,":[81],"proposed":[83],"is":[85],"first":[87],"efficient":[88],"allow":[91],"proper":[93],"boundary":[94],"conditions":[95],"imposed":[98],"it":[100],"supports":[102],"feature":[103],"from":[105],"incomplete":[106],"data":[107],"as":[108,110],"well":[109],"general":[111],"problems.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":36},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":37},{"year":2017,"cited_by_count":39},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
