{"id":"https://openalex.org/W2896640315","doi":"https://doi.org/10.1109/ijcnn.2018.8489143","title":"Incremental Dictionary Learning With Sparsity","display_name":"Incremental Dictionary Learning With Sparsity","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896640315","doi":"https://doi.org/10.1109/ijcnn.2018.8489143","mag":"2896640315"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","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/A5017501434","display_name":"M.R. Azimi-Sadjadi","orcid":"https://orcid.org/0000-0003-1644-9833"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmood R. Azimi-Sadjadi","raw_affiliation_strings":["Electrical & Computer Engineering Department, Colorado State University, Fort Collins, CO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, Colorado State University, Fort Collins, CO, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862554","display_name":"Yinghui Zhao","orcid":"https://orcid.org/0000-0001-7131-235X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing & Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029685028","display_name":"S. Sheedvash","orcid":null},"institutions":[{"id":"https://openalex.org/I28334184","display_name":"The University of Arizona Global Campus","ror":"https://ror.org/052bk3d94","country_code":"US","type":"education","lineage":["https://openalex.org/I28334184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sassan Sheedvash","raw_affiliation_strings":["Ashford University, 8620 Spectrum Center Blvd., San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ashford University, 8620 Spectrum Center Blvd., San Diego, CA, USA","institution_ids":["https://openalex.org/I28334184"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4164,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6116404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7623722553253174},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.7421061992645264},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.7277799248695374},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.7192228436470032},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6859551668167114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102835536003113},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5042659044265747},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48114001750946045},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.46671125292778015},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4616023898124695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45792847871780396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4429393410682678},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43793874979019165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30724331736564636},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.14991891384124756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11588934063911438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623722553253174},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7421061992645264},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.7277799248695374},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.7192228436470032},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6859551668167114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102835536003113},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5042659044265747},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48114001750946045},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.46671125292778015},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4616023898124695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45792847871780396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4429393410682678},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43793874979019165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30724331736564636},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.14991891384124756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11588934063911438},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"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":17,"referenced_works":["https://openalex.org/W1989009613","https://openalex.org/W2027805700","https://openalex.org/W2036196738","https://openalex.org/W2061615939","https://openalex.org/W2079640253","https://openalex.org/W2082266106","https://openalex.org/W2099574652","https://openalex.org/W2112447569","https://openalex.org/W2142940228","https://openalex.org/W2157850096","https://openalex.org/W2160547390","https://openalex.org/W2166062868","https://openalex.org/W2199934397","https://openalex.org/W2573169268","https://openalex.org/W2799061466","https://openalex.org/W4244494905","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2161305109","https://openalex.org/W1992008660","https://openalex.org/W1973732034","https://openalex.org/W4245251483","https://openalex.org/W2244609343","https://openalex.org/W2364118486","https://openalex.org/W2793063187","https://openalex.org/W4254934694","https://openalex.org/W2026350744","https://openalex.org/W2008821896"],"abstract_inverted_index":{"Dictionary":[0],"learning":[1,47,73,93],"methods,":[2],"such":[3],"as":[4],"K-SVD,":[5],"have":[6],"recently":[7],"been":[8],"introduced":[9],"to":[10,41,69,109],"learn":[11],"a":[12,19,65,78],"specific":[13],"dictionary":[14,72],"matrix":[15],"that":[16,30],"best":[17],"fits":[18],"set":[20],"of":[21,35,115],"training":[22],"data":[23,86],"vectors.":[24],"These":[25],"methods":[26],"are":[27,88,107],"flexible":[28],"in":[29],"any":[31],"preferred":[32],"pursuit":[33,82],"method":[34],"sparse":[36,75],"coding":[37,76],"can":[38],"be":[39],"used":[40],"represent":[42],"the":[43,98,111,116],"data.":[44],"Incremental":[45],"in-situ":[46,92],"using":[48,77],"unseen":[49,85],"data,":[50],"however,":[51],"requires":[52],"complete":[53],"retraining":[54],"and":[55,74,100,113],"hence":[56],"increased":[57],"computational":[58],"efforts.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"present":[64],"new":[66],"recursive":[67],"algorithm":[68],"jointly":[70],"perform":[71],"fast":[79],"orthogonal":[80],"matching":[81],"(OMP)":[83],"when":[84],"samples":[87],"encountered.":[89],"The":[90],"incremental":[91],"is":[94],"accomplished":[95],"while":[96],"maintaining":[97],"performance":[99],"with":[101],"substantially":[102],"reduced":[103],"computations.":[104],"Simulation":[105],"results":[106],"presented":[108],"show":[110],"effectiveness":[112],"benefits":[114],"proposed":[117],"algorithms.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}