{"id":"https://openalex.org/W2404676261","doi":"https://doi.org/10.1109/icassp.2016.7472572","title":"Coherence regularized dictionary learning","display_name":"Coherence regularized dictionary learning","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2404676261","doi":"https://doi.org/10.1109/icassp.2016.7472572","mag":"2404676261"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5081719263","display_name":"Mansour Nejati","orcid":"https://orcid.org/0000-0001-5891-4460"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mansour Nejati","raw_affiliation_strings":["ECE Department, Isfahan University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"ECE Department, Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001420311","display_name":"Shadrokh Samavi","orcid":"https://orcid.org/0000-0003-3951-3770"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shadrokh Samavi","raw_affiliation_strings":["ECE Department, Isfahan University of Technology, Iran"],"affiliations":[{"raw_affiliation_string":"ECE Department, Isfahan University of Technology, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023608941","display_name":"S. M. Reza Soroushmehr","orcid":"https://orcid.org/0000-0001-8417-9260"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. M. Reza Soroushmehr","raw_affiliation_strings":["Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, US"],"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, US","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kayvan Najarian","raw_affiliation_strings":["Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA","University of Michigan, Center for Integrative Research in Critical Care (MCIRCC), USA"],"affiliations":[{"raw_affiliation_string":"Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"University of Michigan, Center for Integrative Research in Critical Care (MCIRCC), USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081719263"],"corresponding_institution_ids":["https://openalex.org/I170013655"],"apc_list":null,"apc_paid":null,"fwci":0.9119,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7303233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"54","issue":null,"first_page":"4717","last_page":"4721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/mutual-coherence","display_name":"Mutual coherence","score":0.8171626329421997},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.8057796955108643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549456357955933},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7230733036994934},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.6887632608413696},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6754031777381897},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5639894008636475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5621950626373291},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5576199293136597},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5167988538742065},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.46346938610076904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4319143295288086},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35049670934677124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18610602617263794}],"concepts":[{"id":"https://openalex.org/C45900066","wikidata":"https://www.wikidata.org/wiki/Q6944191","display_name":"Mutual coherence","level":3,"score":0.8171626329421997},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.8057796955108643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549456357955933},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7230733036994934},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.6887632608413696},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6754031777381897},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5639894008636475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5621950626373291},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5576199293136597},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5167988538742065},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.46346938610076904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4319143295288086},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35049670934677124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18610602617263794},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472572","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6200000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1509538959","https://openalex.org/W1972348795","https://openalex.org/W1976709621","https://openalex.org/W2008732654","https://openalex.org/W2051434435","https://openalex.org/W2069959554","https://openalex.org/W2088748973","https://openalex.org/W2114083954","https://openalex.org/W2116148865","https://openalex.org/W2117302351","https://openalex.org/W2128659236","https://openalex.org/W2160547390","https://openalex.org/W2166790554","https://openalex.org/W2461702534","https://openalex.org/W3100231466","https://openalex.org/W4206310440","https://openalex.org/W4242722506","https://openalex.org/W6677528152","https://openalex.org/W6719142172"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W204290405","https://openalex.org/W2157785665","https://openalex.org/W1992008660","https://openalex.org/W2048023787","https://openalex.org/W2008821896","https://openalex.org/W3082420294","https://openalex.org/W2561456314","https://openalex.org/W2068941797","https://openalex.org/W2059311958"],"abstract_inverted_index":{"Sparse":[0],"representations":[1],"over":[2],"redundant":[3],"learned":[4,23],"dictionaries":[5],"have":[6],"shown":[7],"to":[8,97],"produce":[9],"high":[10],"quality":[11],"results":[12,78],"in":[13],"various":[14],"image":[15],"processing":[16],"tasks.":[17],"An":[18],"important":[19],"characteristic":[20],"of":[21,29,39,70,92],"a":[22,50],"dictionary":[24,30,51,63,95,100],"is":[25],"the":[26,37,81,85,93],"mutual":[27],"coherence":[28,56],"that":[31,80],"affects":[32],"its":[33],"generalization":[34,86],"performance":[35,91],"and":[36,72,88],"optimality":[38],"sparse":[40,89],"codes":[41],"generated":[42],"from":[43],"it.":[44],"In":[45],"this":[46,59],"paper,":[47],"we":[48],"present":[49],"learning":[52,101],"model":[53],"equipped":[54],"with":[55],"regularization.":[57],"For":[58],"model,":[60],"two":[61],"novel":[62],"optimization":[64],"algorithms":[65,83],"based":[66],"on":[67],"group-wise":[68],"minimization":[69],"inter-":[71],"intra-coherence":[73],"penalties":[74],"are":[75],"proposed.":[76],"Experimental":[77],"demonstrate":[79],"proposed":[82],"improve":[84],"properties":[87],"approximation":[90],"trained":[94],"compared":[96],"several":[98],"incoherent":[99],"methods.":[102]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}