{"id":"https://openalex.org/W4396680445","doi":"https://doi.org/10.23919/transcom.2023ebp3210","title":"Robust Bilinear Form Identification: A Subgradient Method with Geometrically Decaying Stepsize in the Presence of Heavy-Tailed Noise","display_name":"Robust Bilinear Form Identification: A Subgradient Method with Geometrically Decaying Stepsize in the Presence of Heavy-Tailed Noise","publication_year":2024,"publication_date":"2024-05-06","ids":{"openalex":"https://openalex.org/W4396680445","doi":"https://doi.org/10.23919/transcom.2023ebp3210"},"language":"en","primary_location":{"id":"doi:10.23919/transcom.2023ebp3210","is_oa":true,"landing_page_url":"http://dx.doi.org/10.23919/transcom.2023ebp3210","pdf_url":"https://ieeexplore.ieee.org/ielx7/10400553/10400554/10521583.pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/10400553/10400554/10521583.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011972750","display_name":"Guowei Yang","orcid":"https://orcid.org/0000-0001-5429-9130"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guowei Yang","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang Sci-Tech University,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang Sci-Tech University,China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011972750"],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05816744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E107-B","issue":"10","first_page":"627","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9595000147819519,"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/subgradient-method","display_name":"Subgradient method","score":0.9088048934936523},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5952550172805786},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5782021284103394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5732606053352356},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5428466796875},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5247488021850586},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.5132095813751221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4825384020805359},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.46835675835609436},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.416445255279541},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34370219707489014},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3403016924858093},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31033584475517273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1896597146987915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13271564245224}],"concepts":[{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.9088048934936523},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5952550172805786},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5782021284103394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5732606053352356},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5428466796875},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5247488021850586},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.5132095813751221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4825384020805359},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.46835675835609436},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.416445255279541},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34370219707489014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3403016924858093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31033584475517273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1896597146987915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13271564245224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/transcom.2023ebp3210","is_oa":true,"landing_page_url":"http://dx.doi.org/10.23919/transcom.2023ebp3210","pdf_url":"https://ieeexplore.ieee.org/ielx7/10400553/10400554/10521583.pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.23919/transcom.2023ebp3210","is_oa":true,"landing_page_url":"http://dx.doi.org/10.23919/transcom.2023ebp3210","pdf_url":"https://ieeexplore.ieee.org/ielx7/10400553/10400554/10521583.pdf","source":{"id":"https://openalex.org/S2493627025","display_name":"IEICE Transactions on Communications","issn_l":"0916-8516","issn":["0916-8516","1745-1345"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Communications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324847","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396680445.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1988076688","https://openalex.org/W1989477599","https://openalex.org/W2003561055","https://openalex.org/W2008164266","https://openalex.org/W2065204719","https://openalex.org/W2118550318","https://openalex.org/W2119148901","https://openalex.org/W2133105246","https://openalex.org/W2140652649","https://openalex.org/W2145144876","https://openalex.org/W2597756865","https://openalex.org/W2963462501","https://openalex.org/W3093704854","https://openalex.org/W3113286871","https://openalex.org/W4231570791","https://openalex.org/W4311445368","https://openalex.org/W6656600543"],"related_works":["https://openalex.org/W2359120930","https://openalex.org/W2037613239","https://openalex.org/W2781777036","https://openalex.org/W2390469630","https://openalex.org/W2059050877","https://openalex.org/W1971290991","https://openalex.org/W1944783162","https://openalex.org/W4378770495","https://openalex.org/W4361865857","https://openalex.org/W2962762987"],"abstract_inverted_index":{"This":[0],"paper":[1,46,108],"delves":[2],"into":[3],"the":[4,7,20,45,49,76,83,92,107,110,115,132],"utilisation":[5],"of":[6,67,103,122],"subgradient":[8,57,94],"method":[9,54,58],"with":[10,36,55,91],"geometrically":[11,61],"decaying":[12,62],"stepsize":[13],"for":[14,131],"Bilinear":[15],"Form":[16],"Identification.":[17],"We":[18],"introduce":[19],"iterative":[21],"Wiener":[22],"Filter,":[23],"an":[24],"<tex":[25,50,84,116],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[26,51,85,117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{2}$</tex>":[27],"regression":[28,53],"method,":[29,95],"and":[30,99,114,129],"highlight":[31],"its":[32],"limitations":[33],"when":[34,89],"confronted":[35],"noise,":[37],"particularly":[38],"heavy-tailed":[39,104],"noise.":[40,105],"To":[41],"address":[42],"these":[43],"challenges,":[44],"suggests":[47],"employing":[48],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{1}$</tex>":[52,86],"a":[56,60],"utilizing":[59],"step":[63],"size.":[64],"The":[65,79],"effectiveness":[66],"this":[68],"approach":[69],"is":[70],"compared":[71],"to":[72],"existing":[73],"methods,":[74],"including":[75],"ALS":[77],"algorithem.":[78],"study":[80],"demonstrates":[81],"that":[82],"algorithm,":[87],"especially":[88],"paired":[90],"proposed":[93],"excels":[96],"in":[97],"stability":[98],"accuracy":[100],"under":[101],"conditions":[102],"Additionally,":[106],"introduces":[109],"standard":[111],"rounding":[112],"procedure":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathcal{S}$</tex>-outlier":[118],"bound":[119],"as":[120],"relaxations":[121],"traditional":[123],"assumptions.":[124],"Numerical":[125],"experiments":[126],"provide":[127],"support":[128],"validation":[130],"presented":[133],"results.":[134]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
