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1 Ergebnisse
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A trainable monogenic ConvNet layer robust in front of larg..:
Moya Sánchez, Eduardo Ulises
;
Xambó Descamps, Sebastián
;
Sánchez-Pérez, Abraham
..
https://ieeexplore.ieee.org/document/9615499. , 2021
Link:
http://hdl.handle.net/2117/357954
RT Journal T1
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
UL https://suche.suub.uni-bremen.de/peid=base-ftupcatalunyair:oai:upcommons.upc.edu:2117_357954&Exemplar=1&LAN=DE A1 Moya Sánchez, Eduardo Ulises A1 Xambó Descamps, Sebastián A1 Sánchez-Pérez, Abraham A1 Salazar Colores, Sebastián A1 Cortés García, Claudio Ulises PB Institute of Electrical and Electronics Engineers (IEEE) YR 2021 K1 Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic K1 Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo K1 Deep learning K1 Neural networks (Computer science) K1 Image analysis K1 Bio-Inspired models K1 ConvNet K1 Robust deep-learning K1 Monogenic Signal K1 Aprenentatge profund K1 Xarxes neuronals (Informàtica) K1 Imatges -- Anàlisi JF https://ieeexplore.ieee.org/document/9615499 LK http://hdl.handle.net/2117/357954 DO http://hdl.handle.net/2117/357954 SF ELIB - SuUB Bremen
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