{"id":"https://openalex.org/W2811456062","doi":"https://doi.org/10.1109/fskd.2017.8393212","title":"Robust diffusion estimation algorithm via genearlized cauchy loss function over distributed network","display_name":"Robust diffusion estimation algorithm via genearlized cauchy loss function over distributed network","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2811456062","doi":"https://doi.org/10.1109/fskd.2017.8393212","mag":"2811456062"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5064791338","display_name":"Wentao Ma","orcid":"https://orcid.org/0000-0002-2781-1693"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Ma","raw_affiliation_strings":["School of automation and information engineering, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of automation and information engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102836217","display_name":"Jiandong Duan","orcid":"https://orcid.org/0000-0002-0478-0302"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandong Duan","raw_affiliation_strings":["School of automation and information engineering, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of automation and information engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691174","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-0510-4314"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["School of automation and information engineering, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of automation and information engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080084666","display_name":"Darui Zhu","orcid":"https://orcid.org/0000-0002-8267-1937"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Darui Zhu","raw_affiliation_strings":["School of automation and information engineering, Xi'an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of automation and information engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064791338"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.24249757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2737","last_page":"2742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/impulse-noise","display_name":"Impulse noise","score":0.8009998798370361},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7578520774841309},{"id":"https://openalex.org/keywords/cauchy-distribution","display_name":"Cauchy distribution","score":0.7572867274284363},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6424848437309265},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6283485889434814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6181726455688477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6073104739189148},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5983832478523254},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4727661907672882},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4368155896663666},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4344770014286041},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4201123118400574},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.41561973094940186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30466416478157043},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20908668637275696},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.165604829788208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15235081315040588},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.07291808724403381}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.8009998798370361},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7578520774841309},{"id":"https://openalex.org/C49344536","wikidata":"https://www.wikidata.org/wiki/Q726441","display_name":"Cauchy distribution","level":2,"score":0.7572867274284363},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6424848437309265},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6283485889434814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181726455688477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6073104739189148},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5983832478523254},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4727661907672882},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4368155896663666},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4344770014286041},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4201123118400574},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.41561973094940186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30466416478157043},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20908668637275696},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.165604829788208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15235081315040588},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.07291808724403381},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":20,"referenced_works":["https://openalex.org/W1194543394","https://openalex.org/W1997567675","https://openalex.org/W1999225362","https://openalex.org/W2012464243","https://openalex.org/W2025184650","https://openalex.org/W2042664989","https://openalex.org/W2042683269","https://openalex.org/W2043443394","https://openalex.org/W2047565655","https://openalex.org/W2091734247","https://openalex.org/W2093795816","https://openalex.org/W2118776392","https://openalex.org/W2119434824","https://openalex.org/W2135160607","https://openalex.org/W2239136474","https://openalex.org/W2261857606","https://openalex.org/W2338004272","https://openalex.org/W2588937208","https://openalex.org/W2963583696","https://openalex.org/W3101444344"],"related_works":["https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2157134024","https://openalex.org/W2985488186","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2064270814","https://openalex.org/W3143566216","https://openalex.org/W2571655022"],"abstract_inverted_index":{"The":[0],"cost":[1],"function":[2],"used":[3],"in":[4,9,96,117],"distributed":[5,94],"estimation":[6,91],"methods":[7,66],"is":[8],"general":[10],"the":[11,27,36,41,49,83,104],"minimum":[12],"mean":[13],"square":[14],"error":[15],"(MMSE)":[16],"criterion":[17],"which":[18,58],"can":[19,59],"achieve":[20,60],"optimal":[21],"performance":[22,28,63],"under":[23],"Gaussian":[24],"assumption.":[25],"While":[26],"will":[29],"degrade":[30],"severely":[31],"when":[32],"they":[33],"suffer":[34],"from":[35],"non-Gaussian":[37],"situations,":[38],"such":[39],"as":[40],"impulsive-noise":[42],"case.":[43],"In":[44,79],"this":[45],"paper,":[46],"we":[47,81],"extend":[48],"outstanding":[50,111],"Cauchy":[51],"Loss":[52],"(CL)":[53],"to":[54,77,85],"generalized":[55],"CL":[56],"(GCL)":[57],"a":[61,87],"better":[62],"than":[64],"MMSE":[65],"since":[67],"it":[68],"takes":[69],"into":[70],"account":[71],"unique":[72],"distribution":[73],"characteristics":[74],"and":[75],"robustness":[76],"outliers.":[78],"addition,":[80],"use":[82],"GCL":[84,107],"develop":[86],"novel":[88],"robust":[89,112],"diffusion":[90,106,113],"method":[92],"over":[93],"network":[95],"impulse":[97],"noise":[98,119],"environments.":[99,120],"Simulation":[100],"results":[101],"show":[102],"that":[103],"proposed":[105],"algorithm":[108],"outperforms":[109],"other":[110],"adaptive":[114],"filtering":[115],"algorithms":[116],"impulsive":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}