{"id":"https://openalex.org/W1993300002","doi":"https://doi.org/10.1007/s10851-012-0337-z","title":"Implicitly Weighted Methods in Robust Image Analysis","display_name":"Implicitly Weighted Methods in Robust Image Analysis","publication_year":2012,"publication_date":"2012-05-10","ids":{"openalex":"https://openalex.org/W1993300002","doi":"https://doi.org/10.1007/s10851-012-0337-z","mag":"1993300002"},"language":"en","primary_location":{"id":"doi:10.1007/s10851-012-0337-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10851-012-0337-z","pdf_url":null,"source":{"id":"https://openalex.org/S66221708","display_name":"Journal of Mathematical Imaging and Vision","issn_l":"0924-9907","issn":["0924-9907","1573-7683"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mathematical Imaging and Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11104/0210725","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052108378","display_name":"Jan Kalina","orcid":"https://orcid.org/0000-0002-8491-0364"},"institutions":[{"id":"https://openalex.org/I4210155092","display_name":"Czech Academy of Sciences, Institute of Computer Science","ror":"https://ror.org/0496n6574","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210155092"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jan Kalina","raw_affiliation_strings":["Center of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences of the Czech Republic, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 2, 182 07, Prague, Czech Republic","Center of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences of the Czech Republic, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Center of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences of the Czech Republic, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 2, 182 07, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210155092"]},{"raw_affiliation_string":"Center of Biomedical Informatics, Institute of Computer Science of the Academy of Sciences of the Czech Republic, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210155092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052108378"],"corresponding_institution_ids":["https://openalex.org/I4210155092"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2780},"apc_paid":null,"fwci":2.2166,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87172826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"44","issue":"3","first_page":"449","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9980000257492065,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9868000149726868,"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/weighting","display_name":"Weighting","score":0.7659821510314941},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.628497838973999},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5780683755874634},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.57406085729599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5603644847869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5511906147003174},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.526543915271759},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49974727630615234},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46851062774658203},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4589555859565735},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.45266351103782654},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44586244225502014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4427804946899414},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42907610535621643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4001506268978119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19451090693473816},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17757132649421692}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7659821510314941},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.628497838973999},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5780683755874634},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.57406085729599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5603644847869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511906147003174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.526543915271759},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49974727630615234},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46851062774658203},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4589555859565735},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.45266351103782654},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44586244225502014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4427804946899414},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42907610535621643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4001506268978119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19451090693473816},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17757132649421692},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10851-012-0337-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10851-012-0337-z","pdf_url":null,"source":{"id":"https://openalex.org/S66221708","display_name":"Journal of Mathematical Imaging and Vision","issn_l":"0924-9907","issn":["0924-9907","1573-7683"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mathematical Imaging and Vision","raw_type":"journal-article"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0379860","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0210725","pdf_url":null,"source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0379860","is_oa":true,"landing_page_url":"http://hdl.handle.net/11104/0210725","pdf_url":null,"source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W149129625","https://openalex.org/W579755141","https://openalex.org/W1489684208","https://openalex.org/W1495297318","https://openalex.org/W1536567364","https://openalex.org/W1541178658","https://openalex.org/W1602083219","https://openalex.org/W1801806698","https://openalex.org/W1963888530","https://openalex.org/W1977735854","https://openalex.org/W1986948589","https://openalex.org/W1987739334","https://openalex.org/W1993707319","https://openalex.org/W1997271628","https://openalex.org/W1997815969","https://openalex.org/W2002134496","https://openalex.org/W2005656886","https://openalex.org/W2008972967","https://openalex.org/W2009086487","https://openalex.org/W2046057333","https://openalex.org/W2056370875","https://openalex.org/W2061119624","https://openalex.org/W2079692321","https://openalex.org/W2097437748","https://openalex.org/W2097486709","https://openalex.org/W2109258005","https://openalex.org/W2113945798","https://openalex.org/W2114122776","https://openalex.org/W2118061983","https://openalex.org/W2121601095","https://openalex.org/W2121647436","https://openalex.org/W2129249398","https://openalex.org/W2129812935","https://openalex.org/W2136860609","https://openalex.org/W2139278916","https://openalex.org/W2143791421","https://openalex.org/W2146023865","https://openalex.org/W2147949103","https://openalex.org/W2152243180","https://openalex.org/W2159680539","https://openalex.org/W2161969291","https://openalex.org/W2162894628","https://openalex.org/W2166602928","https://openalex.org/W2167056337","https://openalex.org/W2171194336","https://openalex.org/W2217896605","https://openalex.org/W2224154098","https://openalex.org/W2405312842","https://openalex.org/W2476868371","https://openalex.org/W2498631646","https://openalex.org/W2506196914","https://openalex.org/W2561675875","https://openalex.org/W2597507805","https://openalex.org/W2696453363","https://openalex.org/W2763672728","https://openalex.org/W2809151066","https://openalex.org/W3015347397","https://openalex.org/W3097096317","https://openalex.org/W3101070457","https://openalex.org/W3121793276","https://openalex.org/W4234864303","https://openalex.org/W4255230573","https://openalex.org/W4301689241"],"related_works":["https://openalex.org/W2046343964","https://openalex.org/W1600426151","https://openalex.org/W3121311879","https://openalex.org/W1539940077","https://openalex.org/W3121734683","https://openalex.org/W1974187127","https://openalex.org/W3046360373","https://openalex.org/W3124768854","https://openalex.org/W1506656464","https://openalex.org/W2085680114"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}