Gast ::
State space representations of the Roesser type for convolutional layers
; ;
2024
Online
DOI: 10.48550/arXiv.2403.11938
Einrichtungen
Inhaltliche Beschreibung (Schlagwörter)
FOS: Computer and information sciences (Genormte SW) ; FOS: Electrical engineering, electronic engineering, information engineering (Genormte SW) ; Image and Video Processing (eess.IV) (Genormte SW) ; Machine Learning (cs.LG) (Genormte SW) ; Signal Processing (eess.SP) (Genormte SW) ; Systems and Control (eess.SY) (Genormte SW)
Externer link: 
Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online, print
Sprache
English
Externe Identnummern
arXiv: arXiv:2403.11938
Interne Identnummern
RWTH-2025-08892
Datensatz-ID: 1020313
Beteiligte Länder
Germany
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Fulltext by arXiv.org