{"id":"https://openalex.org/W4395069478","doi":"https://doi.org/10.1109/tip.2024.3388969","title":"Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering","display_name":"Fine-Grained Essential Tensor Learning for Robust Multi-View Spectral Clustering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395069478","doi":"https://doi.org/10.1109/tip.2024.3388969","pmid":"https://pubmed.ncbi.nlm.nih.gov/38656843"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3388969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3388969","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11810504/pdf/nihms-1993924.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054958308","display_name":"Chong Peng","orcid":"https://orcid.org/0000-0003-0003-5126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong Peng","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0003-5126","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075361193","display_name":"Kehan Kang","orcid":"https://orcid.org/0000-0002-8684-7522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kehan Kang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-8684-7522","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031480448","display_name":"Yongyong Chen","orcid":"https://orcid.org/0000-0003-1970-1993"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1970-1993","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052459660","display_name":"Zhao Kang","orcid":"https://orcid.org/0000-0003-4103-0954"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Kang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030724247","display_name":"Chenglizhao Chen","orcid":"https://orcid.org/0000-0001-9982-5667"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglizhao Chen","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-9982-5667","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100768220","display_name":"Qiang Cheng","orcid":"https://orcid.org/0000-0002-3596-2838"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiang Cheng","raw_affiliation_strings":["Institute of Biomedical Informatics, Department of Computer Science, University of Kentucky, Lexington, KY, USA"],"raw_orcid":"https://orcid.org/0000-0002-3596-2838","affiliations":[{"raw_affiliation_string":"Institute of Biomedical Informatics, Department of Computer Science, University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8051,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96328282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"3145","last_page":"3160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.6842089891433716},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6515635848045349},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6462293267250061},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6340265274047852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4880868196487427},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.48154929280281067},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4774618446826935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4747203588485718},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.457660049200058},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41698700189590454},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37975794076919556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36773401498794556},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3583828806877136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3476502299308777},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09075883030891418},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08564135432243347}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6842089891433716},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6515635848045349},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6462293267250061},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6340265274047852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4880868196487427},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.48154929280281067},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4774618446826935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4747203588485718},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.457660049200058},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41698700189590454},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37975794076919556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36773401498794556},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3583828806877136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3476502299308777},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09075883030891418},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08564135432243347},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2024.3388969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3388969","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38656843","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38656843","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11810504","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11810504","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11810504/pdf/nihms-1993924.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11810504","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11810504","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11810504/pdf/nihms-1993924.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1570251590","display_name":null,"funder_award_id":"62106063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3233617909","display_name":null,"funder_award_id":"UH3 NS100606","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3461699188","display_name":null,"funder_award_id":"UH3 NS100606-03","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3713895120","display_name":null,"funder_award_id":"62276147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3873392749","display_name":null,"funder_award_id":"62172246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3911502178","display_name":null,"funder_award_id":"2022A1515010819","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4186766937","display_name":null,"funder_award_id":"P30 AG072947","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G5024067063","display_name":null,"funder_award_id":"R21AG070909","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5151521382","display_name":null,"funder_award_id":"P30 AG072946","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G7524968725","display_name":null,"funder_award_id":"UH3 NS100606","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G8375851502","display_name":null,"funder_award_id":"R21 AG070909","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395069478.pdf","grobid_xml":"https://content.openalex.org/works/W4395069478.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W201974436","https://openalex.org/W1686810756","https://openalex.org/W1888005072","https://openalex.org/W1907775068","https://openalex.org/W1992426838","https://openalex.org/W2003217181","https://openalex.org/W2043571470","https://openalex.org/W2084812512","https://openalex.org/W2089480358","https://openalex.org/W2104805852","https://openalex.org/W2121947440","https://openalex.org/W2129250947","https://openalex.org/W2136294701","https://openalex.org/W2139208832","https://openalex.org/W2150856297","https://openalex.org/W2152161678","https://openalex.org/W2162316550","https://openalex.org/W2165922980","https://openalex.org/W2166663637","https://openalex.org/W2187089797","https://openalex.org/W2197707282","https://openalex.org/W2262946425","https://openalex.org/W2296131993","https://openalex.org/W2565835729","https://openalex.org/W2605146283","https://openalex.org/W2736399023","https://openalex.org/W2737186053","https://openalex.org/W2756626360","https://openalex.org/W2758611985","https://openalex.org/W2787885212","https://openalex.org/W2809506935","https://openalex.org/W2884277568","https://openalex.org/W2898233200","https://openalex.org/W2904698128","https://openalex.org/W2921065608","https://openalex.org/W2943996654","https://openalex.org/W2949579163","https://openalex.org/W2964214749","https://openalex.org/W2979028048","https://openalex.org/W2979685515","https://openalex.org/W2986692991","https://openalex.org/W2997739739","https://openalex.org/W2998358581","https://openalex.org/W3000198573","https://openalex.org/W3008739840","https://openalex.org/W3010318487","https://openalex.org/W3035370595","https://openalex.org/W3096860278","https://openalex.org/W3130503331","https://openalex.org/W3140079845","https://openalex.org/W3182696037","https://openalex.org/W3208283713","https://openalex.org/W4210518188","https://openalex.org/W4210792995","https://openalex.org/W4221151151","https://openalex.org/W4224309673","https://openalex.org/W4224757231","https://openalex.org/W4225090600","https://openalex.org/W4225942313","https://openalex.org/W4226022916","https://openalex.org/W4226366204","https://openalex.org/W4283827931","https://openalex.org/W4285117216","https://openalex.org/W4296685513","https://openalex.org/W4310494058","https://openalex.org/W4310595044","https://openalex.org/W4319262356","https://openalex.org/W4367016851","https://openalex.org/W4382202887","https://openalex.org/W4385270223","https://openalex.org/W4387968160","https://openalex.org/W4390872091","https://openalex.org/W4393072862","https://openalex.org/W6603183647","https://openalex.org/W6637373629","https://openalex.org/W6675134712","https://openalex.org/W6676671362","https://openalex.org/W6682991666","https://openalex.org/W6684578312","https://openalex.org/W6766091529","https://openalex.org/W6785581017"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2890370013","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":{"Multi-view":[0],"subspace":[1],"clustering":[2],"(MVSC)":[3],"has":[4],"drawn":[5],"significant":[6],"attention":[7],"in":[8],"recent":[9],"study.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14,55,82],"propose":[15],"a":[16],"novel":[17],"approach":[18],"to":[19,60],"MVSC.":[20],"First,":[21],"the":[22,33,43,51,74,78,88,93,101,122,125],"new":[23,102],"method":[24],"is":[25,46,95],"capable":[26],"of":[27,32,42,108,124],"preserving":[28],"high-order":[29],"neighbor":[30],"information":[31],"data,":[34],"which":[35,67,92,111],"provides":[36],"essential":[37],"and":[38,64,70],"complicated":[39],"underlying":[40],"relationships":[41],"data":[44],"that":[45],"not":[47],"straightforwardly":[48],"preserved":[49],"by":[50,97,114],"first-order":[52],"neighbors.":[53],"Second,":[54],"design":[56],"log-based":[57],"nonconvex":[58],"approximations":[59,103],"both":[61],"tensor":[62,65],"rank":[63],"sparsity,":[66],"are":[68,112],"effective":[69],"more":[71],"accurate":[72],"than":[73],"convex":[75],"approximations.":[76],"For":[77],"associated":[79],"shrinkage":[80,109],"problems,":[81],"provide":[83],"elegant":[84,115],"theoretical":[85,98,116],"results":[86,120],"for":[87,91],"closed-form":[89],"solutions,":[90],"convergence":[94],"guaranteed":[96,113],"analysis.":[99],"Moreover,":[100],"have":[104],"some":[105],"interesting":[106],"properties":[107],"effects,":[110],"results.":[117],"Extensive":[118],"experimental":[119],"confirm":[121],"effectiveness":[123],"proposed":[126],"method.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
