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3D Point Cloud Semantic Segmentation through Functional Data Analysis

dc.contributor.authorOviedo de La Fuente, Manuel
dc.contributor.authorCabo Gómez, Carlos 
dc.contributor.authorRoca Pardiñas, Javier
dc.contributor.authorLoudermilk, E. Louise
dc.contributor.authorOrdóñez Galán, Celestino 
dc.date.accessioned2024-02-26T07:38:09Z
dc.date.available2024-02-26T07:38:09Z
dc.date.issued2023
dc.identifier.citationJournal of Agricultural Biological and Environmental Statistics (2023); doi:10.1007/s13253-023-00567
dc.identifier.issn1085-7117
dc.identifier.issn1537-2693
dc.identifier.urihttps://hdl.handle.net/10651/71510
dc.description.sponsorshipThis research/work was supported by MINECO, PID2020-113578RB-I00 MTM2017-82724-R and PID2020-116587GB-I00 grants, and by the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2020-14 and Centro de Investigación del Sistema universitario de Galicia ED431G 2019/01), all of them through the ERDF. “CITIC, a Research Center accredited by the Galician University System, is funded by the ”Consellería de Cultura, Educación e Universidade of the Xunta de Galicia. It was also funded in part by the US Department of Defense’s Strategic Environmental Research and Development Program, project no. RC19-1119. We acknowledge Tall Timbers Research Station for their support, including Dr. Robertson and Pebble Hill Plantation. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA or US Government determination or policy”. Carlos Cabo received funding from the UK Natural Environment Research Council (NE/T001194/1), and from the Spanish Government (Ministry of Universities) and the European Union (NextGenerationEU), within the project MU21-UP2021-030.
dc.language.isoeng
dc.relation.ispartofJournal of Agricultural Biological and Environmental Statistics
dc.rights© 2023 The Author(s)
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceWOS:001064742200001
dc.title3D Point Cloud Semantic Segmentation through Functional Data Analysis
dc.typejournal article
dc.identifier.doi10.1007/s13253-023-00567-w
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113578RB-I00/ES/METODOS ESTADISTICOS FLEXIBLES EN CIENCIA DE DATOS PARA DATOS COMPLEJOS Y DE GRAN VOLUMEN: TEORIA Y APLICACIONES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-82724-R/ES/INFERENCIA ESTADISTICA FLEXIBLE PARA DATOS COMPLEJOS DE GRAN VOLUMEN Y DE ALTA DIMENSION/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-116587GB-I00/ES/DINAMICA COMPLEJA E INFERENCIA NO PARAMETRICA/
dc.relation.projectIDMU21-UP2021-030
dc.relation.publisherversionhttps://doi.org/10.1007/s13253-023-00567-w
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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