{"id":"https://openalex.org/W3136864080","doi":"https://doi.org/10.3390/rs13061101","title":"Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising","display_name":"Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising","publication_year":2021,"publication_date":"2021-03-14","ids":{"openalex":"https://openalex.org/W3136864080","doi":"https://doi.org/10.3390/rs13061101","mag":"3136864080"},"language":"en","primary_location":{"id":"doi:10.3390/rs13061101","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061101","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1101/pdf?version=1615947098","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/6/1101/pdf?version=1615947098","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004735889","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0002-0327-6729"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, No.28, Xianning West Road, Xi\u2019an 710049, China","School of Software Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, No.28, Xianning West Road, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546082","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-8032-7542"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, 266 Xinglong Section of Xifeng Road, Xi\u2019an 710126, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an 710126, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, 266 Xinglong Section of Xifeng Road, Xi\u2019an 710126, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, 266 Xinglong Section of Xifeng Road, Xi'an 710126, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020301327","display_name":"Zhiqiang Tian","orcid":"https://orcid.org/0000-0002-3669-3748"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tian","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, No.28, Xianning West Road, Xi\u2019an 710049, China","School of Software Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, No.28, Xianning West Road, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Software Engineering, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004735889"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5053,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67850567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"6","first_page":"1101","last_page":"1101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.5610170364379883},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5595974922180176},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5243801474571228},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5128067135810852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4829665720462799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4593394994735718},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.445955753326416},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.42869138717651367},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4109095633029938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38665127754211426},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.28901901841163635},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.2613436281681061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5610170364379883},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5595974922180176},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5243801474571228},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5128067135810852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4829665720462799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4593394994735718},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.445955753326416},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.42869138717651367},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4109095633029938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38665127754211426},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.28901901841163635},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2613436281681061},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13061101","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061101","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1101/pdf?version=1615947098","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0a5352b3dcaf4ceb92d0355d8caeee95","is_oa":true,"landing_page_url":"https://doaj.org/article/0a5352b3dcaf4ceb92d0355d8caeee95","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":"Remote Sensing, Vol 13, Iss 6, p 1101 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/6/1101/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13061101","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 6; Pages: 1101","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13061101","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13061101","pdf_url":"https://www.mdpi.com/2072-4292/13/6/1101/pdf?version=1615947098","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1322548190","display_name":null,"funder_award_id":"61876148","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2195157959","display_name":null,"funder_award_id":"617033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2413691100","display_name":null,"funder_award_id":"XJJ2018253","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4228412430","display_name":null,"funder_award_id":"61703328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G600275063","display_name":null,"funder_award_id":"XJJ2018254","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6023274319","display_name":null,"funder_award_id":"61703328, 61876148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G630077093","display_name":null,"funder_award_id":"No. 2018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6729354896","display_name":null,"funder_award_id":"2018M631165","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G696234614","display_name":null,"funder_award_id":"2018BSHYDZZ23","funder_id":"https://openalex.org/F4320326174","funder_display_name":"Shaanxi Province Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8178970076","display_name":null,"funder_award_id":"61876148","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320326174","display_name":"Shaanxi Province Postdoctoral Science Foundation","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136864080.pdf","grobid_xml":"https://content.openalex.org/works/W3136864080.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1899329334","https://openalex.org/W1928626817","https://openalex.org/W1974438823","https://openalex.org/W1981823412","https://openalex.org/W1994040806","https://openalex.org/W2026149562","https://openalex.org/W2056370875","https://openalex.org/W2084962682","https://openalex.org/W2103305137","https://openalex.org/W2110940063","https://openalex.org/W2129891925","https://openalex.org/W2140702875","https://openalex.org/W2141983208","https://openalex.org/W2153663612","https://openalex.org/W2160484748","https://openalex.org/W2161073299","https://openalex.org/W2184334976","https://openalex.org/W2335607901","https://openalex.org/W2466594406","https://openalex.org/W2508457857","https://openalex.org/W2617982036","https://openalex.org/W2624915162","https://openalex.org/W2724686744","https://openalex.org/W2735711969","https://openalex.org/W2743180144","https://openalex.org/W2773415061","https://openalex.org/W2793218933","https://openalex.org/W2793775875","https://openalex.org/W2805465265","https://openalex.org/W2806155925","https://openalex.org/W2809113079","https://openalex.org/W2890133123","https://openalex.org/W2891915458","https://openalex.org/W2900816476","https://openalex.org/W2901220958","https://openalex.org/W2908833896","https://openalex.org/W2959148625","https://openalex.org/W2962747489","https://openalex.org/W2963213461","https://openalex.org/W2964179170","https://openalex.org/W2972301798","https://openalex.org/W2977858451","https://openalex.org/W3004433344","https://openalex.org/W3012548728","https://openalex.org/W3013064625","https://openalex.org/W3015466860","https://openalex.org/W3022346097","https://openalex.org/W3036751413","https://openalex.org/W3091247454","https://openalex.org/W3098435832","https://openalex.org/W3103919952","https://openalex.org/W3179808591","https://openalex.org/W6755145711"],"related_works":["https://openalex.org/W4308269461","https://openalex.org/W4281395053","https://openalex.org/W2020769413","https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"multi-patch":[3],"collaborative":[4,59,93,115],"learning":[5],"is":[6,32,47,85,128,139,157],"introduced":[7],"into":[8,34],"variational":[9,81,155],"low-rank":[10,70,82,112],"matrix":[11,83],"factorization":[12,84],"to":[13,49,130,159,179],"suppress":[14],"mixed":[15,136,198],"noise":[16,77],"in":[17,87,117,196,200],"hyperspectral":[18],"images":[19],"(HSIs).":[20],"Firstly,":[21],"based":[22],"on":[23],"the":[24,30,51,57,64,69,73,76,88,104,118,122,132,143,146,151,165,188,193],"spatial":[25],"consistency":[26],"and":[27,55,150,163,184,190],"nonlocal":[28],"self-similarities,":[29],"HSI":[31,67],"partitioned":[33],"overlapping":[35],"patches":[36,54,116],"with":[37,44,174],"a":[38,101],"full":[39],"band.":[40],"The":[41,182],"similarity":[42],"metric":[43],"fusing":[45],"features":[46],"exploited":[48],"select":[50],"most":[52],"similar":[53],"construct":[56],"corresponding":[58],"patches.":[60],"Secondly,":[61],"considering":[62],"that":[63],"latent":[65],"clean":[66],"holds":[68],"property":[71],"across":[72],"spectra,":[74],"whereas":[75],"component":[78],"does":[79],"not,":[80],"proposed":[86,166,194],"Bayesian":[89],"framework":[90],"for":[91],"each":[92],"patch.":[94],"Using":[95],"Gaussian":[96,125,144],"distribution":[97],"adaptively":[98],"adjusted":[99],"by":[100,110,141],"gamma":[102],"distribution,":[103,145,149],"noise-free":[105],"data":[106],"can":[107],"be":[108],"learned":[109],"exploring":[111],"properties":[113],"of":[114,135,192],"spatial/spectral":[119],"domain.":[120],"Additionally,":[121],"Dirichlet":[123,152],"process":[124],"mixture":[126],"model":[127,167],"utilized":[129,158],"approximate":[131],"statistical":[133],"characteristics":[134],"noises,":[137],"which":[138],"constructed":[140],"exploiting":[142],"inverse":[147],"Wishart":[148],"process.":[153],"Finally,":[154],"inference":[156],"estimate":[160],"all":[161],"variables":[162],"solve":[164],"using":[168],"closed-form":[169],"equations.":[170],"Widely":[171],"used":[172],"datasets":[173],"different":[175],"settings":[176],"are":[177],"adopted":[178],"conduct":[180],"experiments.":[181],"quantitative":[183],"qualitative":[185],"results":[186],"indicate":[187],"effectiveness":[189],"superiority":[191],"method":[195],"reducing":[197],"noises":[199],"HSIs.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2021-03-29T00:00:00"}