{"id":"https://openalex.org/W4414360373","doi":"https://doi.org/10.24963/ijcai.2025/583","title":"Flexible Generalized Low-Rank Regularizer for Tensor RPCA","display_name":"Flexible Generalized Low-Rank Regularizer for Tensor RPCA","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360373","doi":"https://doi.org/10.24963/ijcai.2025/583"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/583","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110267256","display_name":"Zhenhua Gong","orcid":"https://orcid.org/0009-0002-1699-8592"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyang Gong","raw_affiliation_strings":["Huazhong Agricultural University"],"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051397766","display_name":"Jie Yu","orcid":"https://orcid.org/0000-0001-8100-8896"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yu","raw_affiliation_strings":["Huazhong Agricultural University"],"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088224164","display_name":"Yutao Hu","orcid":"https://orcid.org/0000-0002-1287-6515"},"institutions":[{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Hu","raw_affiliation_strings":["Huazhong Agricultural University"],"affiliations":[{"raw_affiliation_string":"Huazhong Agricultural University","institution_ids":["https://openalex.org/I204823248"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449199","display_name":"Yulong Wang","orcid":"https://orcid.org/0000-0002-1033-9281"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I204823248","display_name":"Huazhong Agricultural University","ror":"https://ror.org/023b72294","country_code":"CN","type":"education","lineage":["https://openalex.org/I204823248"]},{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"funder","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Wang","raw_affiliation_strings":["Engineering Research Center of Intelligent Technology for Agriculture, Ministry of Education, China","Huazhong Agricultural University","Key Laboratory of Smart Farming Technology for Agricultural Animals, Ministry of Agriculture and Rural Affairs, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Intelligent Technology for Agriculture, Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"Huazhong Agricultural University","institution_ids":["https://openalex.org/I204823248"]},{"raw_affiliation_string":"Key Laboratory of Smart Farming Technology for Agricultural Animals, Ministry of Agriculture and Rural Affairs, China","institution_ids":["https://openalex.org/I4210151987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110267256"],"corresponding_institution_ids":["https://openalex.org/I204823248"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26779486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5235","last_page":"5243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9804999828338623,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9804999828338623,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10597","display_name":"Nuclear reactor physics and engineering","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.6862000226974487},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.661899983882904},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.6335999965667725},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5335999727249146},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.44350001215934753},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4066999852657318}],"concepts":[{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.6862000226974487},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.661899983882904},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.6335999965667725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863999724388123},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5335999727249146},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5047000050544739},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39070001244544983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38999998569488525},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.2897000014781952},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/583","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Tensor":[0,58],"Robust":[1],"Principal":[2],"Component":[3],"Analysis":[4],"(TRPCA)":[5],"has":[6,73],"emerged":[7],"as":[8,86,96],"a":[9,21,38,48,97,102,110],"powerful":[10],"technique":[11],"for":[12],"low-rank":[13,29,51,124],"tensor":[14,50,147],"recovery.":[15],"To":[16],"achieve":[17],"better":[18],"recovery":[19,150],"performance,":[20],"variety":[22],"of":[23,89,104,155],"TNN":[24],"(Tensor":[25],"Nuclear":[26,59],"Norm)":[27],"based":[28],"regularizers":[30],"have":[31],"been":[32],"proposed":[33],"case":[34],"by":[35,108,135],"case,":[36],"lacking":[37],"general":[39,98],"and":[40,123,128,139,149],"flexible":[41],"framework.":[42],"In":[43,116],"this":[44],"paper,":[45],"we":[46,64,100,118],"design":[47],"novel":[49,121],"regularization":[52],"framework":[53],"coined":[54,126],"FGTNN":[55],"(Flexible":[56,68],"Generalized":[57,69],"Norm).":[60],"Equipped":[61],"with":[62],"FGTNN,":[63],"develop":[65,119],"the":[66,129,137,153],"FGTRPCA":[67,95],"TRPCA)":[70],"framework,":[71],"which":[72],"two":[74],"desirable":[75],"properties.":[76],"1)":[77],"Generalizability:":[78],"Many":[79],"existing":[80],"TRPCA":[81,106],"methods":[82,107],"can":[83],"be":[84],"viewed":[85],"special":[87],"cases":[88],"our":[90,156],"framework;":[91],"2)":[92],"Flexibility:":[93],"Using":[94],"platform,":[99],"derive":[101],"series":[103],"new":[105],"tuning":[109],"continuous":[111],"parameter":[112],"to":[113],"improve":[114],"performance.":[115],"addition,":[117],"another":[120],"smooth":[122],"regularizer":[125],"t-FGJP":[127],"resulting":[130],"SFGTRPCA":[131],"(Smooth":[132],"FGTRPCA)":[133],"method":[134],"leveraging":[136],"low-rankness":[138],"smoothness":[140],"priors":[141],"simultaneously.":[142],"Experimental":[143],"results":[144],"on":[145],"various":[146],"denoising":[148],"tasks":[151],"demonstrate":[152],"superiority":[154],"methods.":[157]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
