{"id":"https://openalex.org/W2294576971","doi":"https://doi.org/10.2312/vmv.20151257","title":"Interactive GPU-based Visualization of Scalar Data with Gaussian Distributed Uncertainty","display_name":"Interactive GPU-based Visualization of Scalar Data with Gaussian Distributed Uncertainty","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2294576971","doi":"https://doi.org/10.2312/vmv.20151257","mag":"2294576971"},"language":"en","primary_location":{"id":"doi:10.2312/vmv.20151257","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20151257","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vmv.20151257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023104640","display_name":"Steven Schlegel","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Schlegel, Steven","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010083798","display_name":"Mathias Goldau","orcid":null},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Goldau, Mathias","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029336209","display_name":"Gerik Scheuermann","orcid":"https://orcid.org/0000-0001-5200-8870"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Scheuermann, Gerik","raw_affiliation_strings":["Leipzig University, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023104640"],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9794999957084656,"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/computer-science","display_name":"Computer science","score":0.7712403535842896},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.63730788230896},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5518480539321899},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5205403566360474},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.501469612121582},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49900197982788086},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.42938870191574097},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.41525590419769287},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3991895914077759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29331398010253906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14494696259498596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07300233840942383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7712403535842896},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.63730788230896},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5518480539321899},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5205403566360474},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.501469612121582},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49900197982788086},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.42938870191574097},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.41525590419769287},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3991895914077759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29331398010253906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14494696259498596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07300233840942383},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2312/vmv.20151257","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20151257","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2294576971","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/vmv/vmv2015.html#SchlegelGS15","pdf_url":null,"source":{"id":"https://openalex.org/S4306421152","display_name":"Vision Modeling and Visualization","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Vision Modeling and Visualization","raw_type":null}],"best_oa_location":{"id":"doi:10.2312/vmv.20151257","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20151257","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W140559053","https://openalex.org/W1546610148","https://openalex.org/W1884010341","https://openalex.org/W1968578042","https://openalex.org/W1972543277","https://openalex.org/W1972641242","https://openalex.org/W1990419021","https://openalex.org/W1990779238","https://openalex.org/W2027264069","https://openalex.org/W2091800485","https://openalex.org/W2095233635","https://openalex.org/W2096484428","https://openalex.org/W2113001609","https://openalex.org/W2114084204","https://openalex.org/W2229412420","https://openalex.org/W2742602584","https://openalex.org/W2743554512","https://openalex.org/W2890351024"],"related_works":["https://openalex.org/W1568312986","https://openalex.org/W2727783244","https://openalex.org/W82945807","https://openalex.org/W1568257428","https://openalex.org/W1494299026","https://openalex.org/W2886803577","https://openalex.org/W94925569","https://openalex.org/W2405290440","https://openalex.org/W2732529520","https://openalex.org/W2063402395","https://openalex.org/W1530079218","https://openalex.org/W3021369989","https://openalex.org/W1855872172","https://openalex.org/W1598025397","https://openalex.org/W3144573166","https://openalex.org/W2097046171","https://openalex.org/W2399609588","https://openalex.org/W1586725390","https://openalex.org/W2167503995","https://openalex.org/W2118359191"],"abstract_inverted_index":{"We":[0,86],"present":[1],"a":[2,18],"GPU-based":[3],"approach":[4,16],"to":[5,33],"visualize":[6],"samples":[7],"of":[8,29,51,61,78,82,94],"normally":[9],"distributed":[10],"uncertain,":[11],"three-dimensional":[12,62,91],"scalar":[13],"data.":[14,85],"Our":[15],"uses":[17],"mathematically":[19],"sound":[20],"interpolation":[21,41],"scheme,":[22],"i.e.,":[23],"Gaussian":[24],"process":[25],"regression.":[26],"The":[27,49],"focus":[28],"this":[30],"work":[31],"is":[32,54,68],"demonstrate,":[34],"that":[35],"GP-regression":[36],"can":[37],"be":[38],"used":[39],"for":[40],"in":[42],"practice,":[43],"despite":[44],"the":[45,65,72,76,83,95],"high":[46],"computational":[47],"costs.":[48],"potential":[50],"our":[52,88],"method":[53,89],"demonstrated":[55],"by":[56,71],"an":[57],"interactive":[58],"volume":[59],"rendering":[60],"data,":[63],"where":[64],"gradient":[66],"estimation":[67],"directly":[69],"computed":[70],"field":[73],"function":[74],"without":[75],"need":[77],"additional":[79],"sample":[80],"points":[81],"underlying":[84],"illustrate":[87],"using":[90],"data":[92],"sets":[93],"medical":[96],"research":[97],"domain.":[98]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
