{"id":"https://openalex.org/W2889025125","doi":"https://doi.org/10.1109/tgrs.2018.2862384","title":"Intracluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising","display_name":"Intracluster Structured Low-Rank Matrix Analysis Method for Hyperspectral Denoising","publication_year":2018,"publication_date":"2018-08-28","ids":{"openalex":"https://openalex.org/W2889025125","doi":"https://doi.org/10.1109/tgrs.2018.2862384","mag":"2889025125"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2862384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2862384","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100323672","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-0655-056X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0655-056X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433957","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-7528-420X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7528-420X","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007602736","display_name":"Yining Jiao","orcid":"https://orcid.org/0000-0003-0311-2377"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Jiao","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083602794","display_name":"Chunna Tian","orcid":"https://orcid.org/0000-0002-3217-0368"},"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":"Chunna Tian","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390421","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0001-5164-7988"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.8234,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9150243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"57","issue":"2","first_page":"866","last_page":"880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7081992030143738},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6101885437965393},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6067731380462646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5660504102706909},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5329856276512146},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5291792750358582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5196470022201538},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.49916696548461914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49133339524269104},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.4675879180431366},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46017399430274963},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.41964447498321533},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4112926125526428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40804848074913025},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.3072950839996338},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.07674708962440491}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7081992030143738},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6101885437965393},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6067731380462646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5660504102706909},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5329856276512146},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5291792750358582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196470022201538},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.49916696548461914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49133339524269104},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.4675879180431366},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46017399430274963},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.41964447498321533},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4112926125526428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40804848074913025},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.3072950839996338},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.07674708962440491},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2862384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2862384","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3798674387","display_name":null,"funder_award_id":"2017JM6021","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G5203409479","display_name":null,"funder_award_id":"2017JM6001","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G5604689228","display_name":"\u57fa\u4e8e\u7a7a\u8c31\u7a00\u758f\u7ed3\u6784\u81ea\u9002\u5e94\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u56fe\u50cf\u538b\u7f29\u611f\u77e5\u91cd\u6784\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61671385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5696426425","display_name":"\u8054\u5408\u6587\u672c\u5148\u9a8c\u548c\u591a\u6807\u6ce8\u4fe1\u606f\u7684\u56fe\u50cf\u6df1\u5ea6\u89c6\u89c9\u8bed\u4e49\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8185393052","display_name":null,"funder_award_id":"158201","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"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/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W1928626817","https://openalex.org/W1944540851","https://openalex.org/W1974438823","https://openalex.org/W1974933922","https://openalex.org/W1980849288","https://openalex.org/W1985242206","https://openalex.org/W1994040806","https://openalex.org/W2033849598","https://openalex.org/W2039596145","https://openalex.org/W2048896124","https://openalex.org/W2051968191","https://openalex.org/W2053514113","https://openalex.org/W2087263574","https://openalex.org/W2095906131","https://openalex.org/W2097474301","https://openalex.org/W2107799335","https://openalex.org/W2127870457","https://openalex.org/W2131628350","https://openalex.org/W2138910845","https://openalex.org/W2142077116","https://openalex.org/W2142192675","https://openalex.org/W2145962650","https://openalex.org/W2153834080","https://openalex.org/W2155124307","https://openalex.org/W2161160262","https://openalex.org/W2171520281","https://openalex.org/W2244252827","https://openalex.org/W2295576075","https://openalex.org/W2326013034","https://openalex.org/W2329868263","https://openalex.org/W2335607901","https://openalex.org/W2345595902","https://openalex.org/W2403673701","https://openalex.org/W2414009677","https://openalex.org/W2505029951","https://openalex.org/W2508114009","https://openalex.org/W2509021534","https://openalex.org/W2558098092","https://openalex.org/W2579929594","https://openalex.org/W2592224809","https://openalex.org/W2595142274","https://openalex.org/W2735711969","https://openalex.org/W2744847173","https://openalex.org/W2748967439","https://openalex.org/W2792684107","https://openalex.org/W2793515883","https://openalex.org/W2951443864","https://openalex.org/W3005708632","https://openalex.org/W6674737082","https://openalex.org/W6677581936","https://openalex.org/W6679973066","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W4301887332","https://openalex.org/W4094001","https://openalex.org/W2460403256","https://openalex.org/W2586379490","https://openalex.org/W2786709163","https://openalex.org/W349217628","https://openalex.org/W2000248374","https://openalex.org/W2325721399","https://openalex.org/W2527484170","https://openalex.org/W2889025125"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"denoising":[3,18,38,69,99,227],"aims":[4],"at":[5],"eliminating":[6],"the":[7,11,73,78,89,93,103,130,149,166,172,178,183,186,198,203,211,216,237,244,247],"noise":[8],"generated":[9],"during":[10],"acquisition":[12],"and":[13,52,143,154],"transmission":[14],"of":[15,26,139,185,246],"HSIs.":[16],"Since":[17],"is":[19,30,175,194],"an":[20,117,190],"ill-posed":[21],"problem,":[22],"utilizing":[23],"proper":[24],"knowledge":[25],"HSIs":[27],"as":[28,205,207],"regularization":[29],"essential":[31],"for":[32,67,96,124],"a":[33,58,97],"good":[34],"denoiser.":[35],"Many":[36],"HSI":[37,68,125,132,214],"methods":[39,85,232],"have":[40],"been":[41,62],"proposed":[42,195,220,248],"to":[43,64,75,107,181,196,208],"leverage":[44],"various":[45],"prior":[46],"knowledge,":[47,57],"e.g.,":[48],"total":[49],"variation,":[50],"sparsity,":[51],"so":[53],"on.":[54],"Among":[55],"those":[56],"low-rank":[59,84,94,120,158,167,187],"property":[60],"has":[61,72],"shown":[63],"be":[65,108],"effective":[66],"since":[70],"it":[71],"ability":[74],"deal":[76],"with":[77,147,161,230],"missing":[79],"values.":[80],"However,":[81],"most":[82],"existing":[83],"seldom":[86],"consider":[87],"mining":[88],"useful":[90],"structures":[91],"inside":[92],"matrix":[95,121,168],"better":[98,226],"result.":[100],"In":[101],"addition,":[102],"rank":[104,238],"number":[105],"needs":[106],"assigned":[109],"manually.":[110],"To":[111],"address":[112],"these":[113],"problems,":[114],"we":[115,128],"propose":[116],"intracluster":[118],"structured":[119,173,199],"analysis":[122],"method":[123,193,221],"denoising.":[126],"First,":[127],"divide":[129],"original":[131],"into":[133],"some":[134],"clusters":[135,151],"by":[136],"taking":[137],"advantages":[138],"both":[140],"local":[141],"similarity":[142,145],"nonlocal":[144],"structures,":[146],"which":[148],"resulted":[150],"are":[152],"simpler":[153],"show":[155],"more":[156],"obvious":[157],"property.":[159],"Second,":[160],"singular":[162,179],"value":[163],"decomposition":[164],"on":[165],"in":[169],"each":[170],"cluster,":[171],"sparsity":[174,200],"modeled":[176],"among":[177],"values":[180],"capture":[182],"structure":[184],"matrix.":[188],"Finally,":[189],"efficient":[191],"optimization":[192],"learn":[197],"adaptively":[201],"from":[202,215],"data,":[204],"well":[206],"inversely":[209],"estimate":[210],"latent":[212],"clean":[213],"noisy":[217],"counterpart.":[218],"The":[219],"can":[222],"not":[223],"only":[224],"obtain":[225],"results":[228,242],"compared":[229],"the-state-of-the-art":[231],"but":[233],"also":[234],"automatically":[235],"determine":[236],"number.":[239],"Extensive":[240],"experimental":[241],"demonstrate":[243],"effectiveness":[245],"method.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":14}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}