{"id":"https://openalex.org/W2039664503","doi":"https://doi.org/10.1016/s0167-8655(02)00127-7","title":"Kernel density estimation with adaptive varying window size","display_name":"Kernel density estimation with adaptive varying window size","publication_year":2002,"publication_date":"2002-10-14","ids":{"openalex":"https://openalex.org/W2039664503","doi":"https://doi.org/10.1016/s0167-8655(02)00127-7","mag":"2039664503"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-8655(02)00127-7","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-8655(02)00127-7","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","raw_type":"journal-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/A5053964818","display_name":"Vladimir Katkovnik","orcid":"https://orcid.org/0000-0003-3478-0669"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Vladimir Katkovnik","raw_affiliation_strings":["Kwangju Institute of Science and Technology, Kwangju, South Korea","Kwangju Institute of Science and Technology, Kwangju, South Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwangju Institute of Science and Technology, Kwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Kwangju Institute of Science and Technology, Kwangju, South Korea#TAB#","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061460061","display_name":"Ilya Shmulevich","orcid":"https://orcid.org/0000-0002-4410-8780"},"institutions":[{"id":"https://openalex.org/I1343551460","display_name":"The University of Texas MD Anderson Cancer Center","ror":"https://ror.org/04twxam07","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1343551460"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ilya Shmulevich","raw_affiliation_strings":["University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA","University of Texas, M. D. Anderson Cancer Center, Houston, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA","institution_ids":["https://openalex.org/I1343551460"]},{"raw_affiliation_string":"University of Texas, M. D. Anderson Cancer Center, Houston, TX","institution_ids":["https://openalex.org/I1343551460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061460061"],"corresponding_institution_ids":["https://openalex.org/I1343551460"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":null,"fwci":3.2203,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.9145817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"14","first_page":"1641","last_page":"1648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9948999881744385,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9948999881744385,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9914000034332275,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.833743691444397},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.7415757179260254},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.7314186096191406},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.671592116355896},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.6639754176139832},{"id":"https://openalex.org/keywords/multivariate-kernel-density-estimation","display_name":"Multivariate kernel density estimation","score":0.631292462348938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5940734148025513},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5728338360786438},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5119898915290833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3922775089740753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3732859790325165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36318862438201904},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3377944231033325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3250201344490051},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.14935392141342163},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07991409301757812},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.07579705119132996}],"concepts":[{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.833743691444397},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.7415757179260254},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.7314186096191406},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.671592116355896},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.6639754176139832},{"id":"https://openalex.org/C84894716","wikidata":"https://www.wikidata.org/wiki/Q6935135","display_name":"Multivariate kernel density estimation","level":5,"score":0.631292462348938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5940734148025513},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5728338360786438},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5119898915290833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3922775089740753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3732859790325165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36318862438201904},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3377944231033325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3250201344490051},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.14935392141342163},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07991409301757812},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.07579705119132996},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0167-8655(02)00127-7","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-8655(02)00127-7","pdf_url":null,"source":{"id":"https://openalex.org/S151820558","display_name":"Pattern Recognition Letters","issn_l":"0167-8655","issn":["0167-8655","1872-7344"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W90669972","https://openalex.org/W1489950266","https://openalex.org/W1597926580","https://openalex.org/W1770825568","https://openalex.org/W1971439810","https://openalex.org/W1981161816","https://openalex.org/W2008572210","https://openalex.org/W2029450582","https://openalex.org/W2029900646","https://openalex.org/W2030147727","https://openalex.org/W2037269865","https://openalex.org/W2050913223","https://openalex.org/W2050947749","https://openalex.org/W2081825569","https://openalex.org/W2089349283","https://openalex.org/W2089643338","https://openalex.org/W2118020555","https://openalex.org/W2147801451","https://openalex.org/W2158929606","https://openalex.org/W2167770537","https://openalex.org/W2340250612","https://openalex.org/W2468714721","https://openalex.org/W4245003414","https://openalex.org/W4255279886","https://openalex.org/W6603577305","https://openalex.org/W6703488110"],"related_works":["https://openalex.org/W2355371556","https://openalex.org/W2144201579","https://openalex.org/W2039664503","https://openalex.org/W3123419490","https://openalex.org/W2349204748","https://openalex.org/W2369488729","https://openalex.org/W2371062347","https://openalex.org/W2995237375","https://openalex.org/W2150761236","https://openalex.org/W2012206282"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}