{"id":"https://openalex.org/W2155011890","doi":"https://doi.org/10.1109/icassp.2006.1660503","title":"Empirical Conditional Mean: Nonparametric Estimator for Comparametric Exposure Compensation","display_name":"Empirical Conditional Mean: Nonparametric Estimator for Comparametric Exposure Compensation","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2155011890","doi":"https://doi.org/10.1109/icassp.2006.1660503","mag":"2155011890"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings","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/A5100617792","display_name":"Dong Sik Kim","orcid":"https://orcid.org/0000-0002-1001-169X"},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong Sik Kim","raw_affiliation_strings":["School of Electronics and Information Engineering, Hankuk University of Foreign Studies, Kyonggi-do, 449-791, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Hankuk University of Foreign Studies, Kyonggi-do, 449-791, Korea","institution_ids":["https://openalex.org/I83436808"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786526","display_name":"Su Yeon Lee","orcid":"https://orcid.org/0000-0002-3286-1628"},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Yeon Lee","raw_affiliation_strings":["Sch. of Electron. & Inf. Eng., Hankuk Univ. of Foreign Studies","School of Electronics and Information Engineering, Hankuk University of Foreign Studies, Gyeonggi, South Korea"],"affiliations":[{"raw_affiliation_string":"Sch. of Electron. & Inf. Eng., Hankuk Univ. of Foreign Studies","institution_ids":["https://openalex.org/I83436808"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Hankuk University of Foreign Studies, Gyeonggi, South Korea","institution_ids":["https://openalex.org/I83436808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033729252","display_name":"Kiryung Lee","orcid":"https://orcid.org/0000-0003-1909-6041"},"institutions":[{"id":"https://openalex.org/I4210131320","display_name":"LG (South Korea)","ror":"https://ror.org/03ddh2c27","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210131320"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kiryung Lee","raw_affiliation_strings":["LG Electronics Institute of Technology, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"LG Electronics Institute of Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I4210131320"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100617792"],"corresponding_institution_ids":["https://openalex.org/I83436808"],"apc_list":null,"apc_paid":null,"fwci":0.3739,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71298496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"II","last_page":"II"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8382818698883057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6371727585792542},{"id":"https://openalex.org/keywords/invariant-estimator","display_name":"Invariant estimator","score":0.4929821491241455},{"id":"https://openalex.org/keywords/consistent-estimator","display_name":"Consistent estimator","score":0.4854176938533783},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.4797278940677643},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4780859649181366},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4617675840854645},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4581626057624817},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.44482970237731934},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.44199663400650024},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.346911758184433},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07274624705314636}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8382818698883057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6371727585792542},{"id":"https://openalex.org/C38689907","wikidata":"https://www.wikidata.org/wiki/Q6059509","display_name":"Invariant estimator","level":5,"score":0.4929821491241455},{"id":"https://openalex.org/C164172150","wikidata":"https://www.wikidata.org/wiki/Q1782585","display_name":"Consistent estimator","level":4,"score":0.4854176938533783},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.4797278940677643},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4780859649181366},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4617675840854645},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4581626057624817},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.44482970237731934},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.44199663400650024},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.346911758184433},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07274624705314636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1660503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1492556495","https://openalex.org/W2099494899","https://openalex.org/W2100178949","https://openalex.org/W2132817297","https://openalex.org/W2799796486","https://openalex.org/W4238717354","https://openalex.org/W4252839115","https://openalex.org/W6675129412"],"related_works":["https://openalex.org/W2036696807","https://openalex.org/W2035998077","https://openalex.org/W4239491110","https://openalex.org/W2092213901","https://openalex.org/W2910434125","https://openalex.org/W3107467192","https://openalex.org/W4297081759","https://openalex.org/W2141623022","https://openalex.org/W1969346621","https://openalex.org/W2350206592"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,10,69],"comparametric":[4],"exposure":[5],"compensation":[6],"is":[7,19,42,56],"conducted":[8],"using":[9],"nonparametric":[11],"estimator:":[12],"empirical":[13,24],"conditional":[14,25],"mean.":[15],"The":[16,37],"Nadaraya-Watson":[17,54],"estimator":[18,41,55],"used":[20],"to":[21],"smooth":[22],"the":[23,30,40,47,53,64,79],"mean":[26],"curve":[27],"especially":[28],"for":[29],"case":[31,82],"of":[32,35,39,46,73],"small":[33],"number":[34],"samples.":[36],"performance":[38],"compared":[43],"with":[44],"those":[45],"polynomial":[48],"and":[49,59],"piecewise-linear":[50],"fittings.":[51],"Designing":[52],"very":[57],"simple":[58],"achieves":[60],"lower":[61],"errors":[62],"than":[63],"fitting":[65],"cases,":[66],"which":[67],"require":[68],"heavy":[70],"computational":[71],"burden":[72],"solving":[74],"equations,":[75],"without":[76],"worry":[77],"about":[78],"singular":[80],"matrix":[81]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}