{"id":"https://openalex.org/W2982240858","doi":"https://doi.org/10.1186/s13634-019-0650-4","title":"Clustering K-SVD for sparse representation of images","display_name":"Clustering K-SVD for sparse representation of images","publication_year":2019,"publication_date":"2019-10-25","ids":{"openalex":"https://openalex.org/W2982240858","doi":"https://doi.org/10.1186/s13634-019-0650-4","mag":"2982240858"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-019-0650-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0650-4","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s13634-019-0650-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086733146","display_name":"Jun Fu","orcid":"https://orcid.org/0000-0002-6810-6595"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Fu","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China"],"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I4210152006","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015440083","display_name":"Haikuo Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haikuo Yuan","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China"],"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I4210152006","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004174956","display_name":"Rongqiang Zhao","orcid":"https://orcid.org/0000-0003-0131-9542"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongqiang Zhao","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China"],"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I4210152006","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389643","display_name":"Luquan Ren","orcid":"https://orcid.org/0000-0003-1102-8482"},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luquan Ren","raw_affiliation_strings":["College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China"],"affiliations":[{"raw_affiliation_string":"College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I4210152006","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086733146"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210152006"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.7737,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70462633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9951000213623047,"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/T10057","display_name":"Face and Expression Recognition","score":0.9939000010490417,"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":0.9292385578155518},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.8156968951225281},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7369864583015442},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7326467633247375},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7087353467941284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6335304975509644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6282964944839478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5018000602722168},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47834131121635437},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3354758620262146}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.9292385578155518},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8156968951225281},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7369864583015442},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7326467633247375},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7087353467941284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6335304975509644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6282964944839478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018000602722168},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47834131121635437},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3354758620262146},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-019-0650-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0650-4","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3c74b079d2a446dd9f6c9b12c13869d0","is_oa":true,"landing_page_url":"https://doaj.org/article/3c74b079d2a446dd9f6c9b12c13869d0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-14 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-019-0650-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0650-4","pdf_url":null,"source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G8088259681","display_name":null,"funder_award_id":"51705193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1485433084","https://openalex.org/W1995756791","https://openalex.org/W2023630749","https://openalex.org/W2046658845","https://openalex.org/W2056758595","https://openalex.org/W2081250382","https://openalex.org/W2088213824","https://openalex.org/W2112447569","https://openalex.org/W2115549875","https://openalex.org/W2116148865","https://openalex.org/W2121927366","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129812098","https://openalex.org/W2132639093","https://openalex.org/W2145096794","https://openalex.org/W2153663612","https://openalex.org/W2156593994","https://openalex.org/W2160547390","https://openalex.org/W2160979406","https://openalex.org/W2163398148","https://openalex.org/W2167188281","https://openalex.org/W2231830877","https://openalex.org/W2283717164","https://openalex.org/W2296616510","https://openalex.org/W2394634174","https://openalex.org/W2483985239","https://openalex.org/W2560042709","https://openalex.org/W2560707166","https://openalex.org/W2582164634","https://openalex.org/W2759211282","https://openalex.org/W2806185661","https://openalex.org/W2833908190","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2113038107","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W3004790527","https://openalex.org/W2067062989","https://openalex.org/W634011990"],"abstract_inverted_index":{"Abstract":[0],"K-singular":[1],"value":[2],"decomposition":[3],"(K-SVD)":[4],"is":[5,112],"a":[6,103,120],"frequently":[7],"used":[8],"dictionary":[9,20,58],"learning":[10],"(DL)":[11],"algorithm":[12,87,94],"that":[13,152],"iteratively":[14],"works":[15],"between":[16],"sparse":[17,23,27,35,72,96,160],"coding":[18,24],"and":[19,33,90,107,132,169],"updating.":[21],"The":[22,98,174],"process":[25],"generates":[26],"coefficients":[28,36],"for":[29,88,95],"each":[30,108],"training":[31],"sample,":[32],"the":[34,41,46,55,61,69,83,91,116,124,133,145,153,166,181,187],"induce":[37],"clustering":[38,84,176],"features.":[39],"In":[40],"applications":[42],"like":[43],"image":[44,117],"processing,":[45],"features":[47,118,125],"of":[48,57,64,71,105,110,119,126,135,144,162],"different":[49],"clusters":[50,128],"vary":[51],"dramatically.":[52],"However,":[53],"all":[54,127],"atoms":[56,99,111,137],"jointly":[59],"represent":[60,115],"features,":[62],"regardless":[63],"clusters.":[65],"This":[66],"would":[67],"reduce":[68],"accuracy":[70],"representation.":[73,97],"To":[74],"address":[75],"this":[76,79],"problem,":[77],"in":[78],"study,":[80],"we":[81],"develop":[82],"K-SVD":[85,168],"(CK-SVD)":[86],"DL":[89,177,189],"corresponding":[92],"greedy":[93],"are":[100,138,147],"divided":[101],"into":[102],"set":[104],"groups,":[106],"group":[109],"employed":[113],"to":[114,165,183,186],"specific":[121],"cluster.":[122],"Hence,":[123],"can":[129],"be":[130,184],"utilized":[131],"number":[134],"redundant":[136],"reduced.":[139],"Additionally,":[140],"two":[141],"practical":[142],"extensions":[143],"CK-SVD":[146],"provided.":[148],"Experimental":[149],"results":[150],"demonstrate":[151],"proposed":[154,175],"methods":[155],"could":[156],"provide":[157],"more":[158],"accurate":[159],"representation":[161],"images,":[163],"compared":[164],"conventional":[167],"its":[170],"existing":[171],"extended":[172],"methods.":[173],"model":[178],"also":[179],"has":[180],"potential":[182],"applied":[185],"online":[188],"cases.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
