{"id":"https://openalex.org/W2159961632","doi":"https://doi.org/10.1109/icassp.2013.6637865","title":"Learning a tree-structured dictionary for efficient image representation with adaptive sparse coding","display_name":"Learning a tree-structured dictionary for efficient image representation with adaptive sparse coding","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2159961632","doi":"https://doi.org/10.1109/icassp.2013.6637865","mag":"2159961632"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6637865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5005976721","display_name":"J\u00e9r\u00e9my Aghaei Mazaheri","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jeremy Aghaei Mazaheri","raw_affiliation_strings":["INRIA Rennes, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA Rennes, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046357496","display_name":"Claude Labit","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claude Labit","raw_affiliation_strings":["INRIA Rennes, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005976721"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":1.4094,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82198234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"54","issue":null,"first_page":"1320","last_page":"1324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/k-svd","display_name":"K-SVD","score":0.8135232925415039},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7070435285568237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064236402511597},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6527573466300964},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6019539833068848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5534769892692566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5518227815628052},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.5137904286384583},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43218836188316345},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.41080015897750854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31829869747161865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2352600395679474}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.8135232925415039},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7070435285568237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064236402511597},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6527573466300964},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6019539833068848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5534769892692566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5518227815628052},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.5137904286384583},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43218836188316345},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.41080015897750854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31829869747161865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2352600395679474},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6637865","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6637865","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.739.5125","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.739.5125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/87/60/30/PDF/aghaei_mazaheri.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1539012881","https://openalex.org/W1972959470","https://openalex.org/W2016255375","https://openalex.org/W2065829287","https://openalex.org/W2099321050","https://openalex.org/W2121647436","https://openalex.org/W2128659236","https://openalex.org/W2141089030","https://openalex.org/W2151693816","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2950529782"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W2982240858","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W2080187108","https://openalex.org/W2972860561"],"abstract_inverted_index":{"We":[0,89,123],"introduce":[1],"a":[2,10,19,26,34,97,134],"new":[3,20],"method,":[4,24,131],"called":[5],"Tree":[6,100],"K-SVD,":[7,115],"to":[8,137],"learn":[9],"tree-structured":[11,52,135],"dictionary":[12,32,53,136],"for":[13,85,96],"sparse":[14,22,129],"representations,":[15],"as":[16,18,63,65],"well":[17,64],"adaptive":[21,128],"coding":[23,67,130],"in":[25,36,75],"context":[27],"of":[28,57,68,146],"image":[29],"compression.":[30],"Each":[31],"at":[33],"level":[35,46],"the":[37,44,48,58,61,76,118,139,144],"tree":[38,62],"is":[39,73],"learned":[40,110],"from":[41,43],"residuals":[42],"previous":[45],"with":[47],"K-SVD":[49,101,112],"method.":[50],"The":[51],"allows":[54],"efficient":[55,66],"search":[56],"atoms":[59],"along":[60],"their":[69],"indices.":[70],"Besides,":[71],"it":[72,79],"scalable":[74],"sense":[77],"that":[78,126],"can":[80],"be":[81],"used,":[82],"once":[83],"learned,":[84],"several":[86],"sparsity":[87,140],"constraints.":[88],"show":[90,125],"experimentally":[91],"on":[92,133],"face":[93],"images":[94],"that,":[95],"high":[98],"sparsity,":[99],"offers":[102],"better":[103],"rate-distortion":[104],"performances":[105],"than":[106,117],"state-of-the-art":[107],"\u201cflat\u201d":[108],"dictionaries":[109],"by":[111],"or":[113,116],"Sparse":[114],"predetermined":[119],"overcomplete":[120],"DCT":[121],"dictionary.":[122],"also":[124],"our":[127],"used":[132],"adapt":[138],"per":[141],"level,":[142],"improves":[143],"quality":[145],"reconstruction.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}