- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7683
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Efficient and Robust Background Modeling with Dynamic Mode Decomposition ; volume:64 ; number:4 ; day:24 ; month:2 ; year:2022 ; pages:364-378 ; date:5.2022
Journal of mathematical imaging and vision ; 64, Heft 4 (24.2.2022), 364-378, 5.2022
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10851-022-01068-0
- URN
-
urn:nbn:de:101:1-2022070319250224169314
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Krake, Tim
- Bruhn, Andrés
- Eberhardt, Bernhard
- Weiskopf, Daniel
- SpringerLink (Online service)
Ähnliche Objekte (12)
Compressed dynamic mode decomposition for background modeling
Noise-robust speech feature processing with empirical mode decomposition
Full background decomposition of the CONUS experiment
Foreground-background decomposition in complex auditory scenes
Background Subtraction using Adaptive Singular Value Decomposition
Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow
Fast mode decomposition in few-mode fibers
Efficient and practical modular decomposition
Localized Spectral Decomposition (LSD): a robust and efficient finite element method for solving elliptic PDEs
Empirical mode decomposition with missing values
Zero modes in de Sitter background
Efficient Decomposition-Based Multiclass and Multilabel Classification
Compressed dynamic mode decomposition for background modeling
Noise-robust speech feature processing with empirical mode decomposition
Full background decomposition of the CONUS experiment
Foreground-background decomposition in complex auditory scenes
Background Subtraction using Adaptive Singular Value Decomposition
Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow
Fast mode decomposition in few-mode fibers
Efficient and practical modular decomposition
Localized Spectral Decomposition (LSD): a robust and efficient finite element method for solving elliptic PDEs
Empirical mode decomposition with missing values
Zero modes in de Sitter background
Efficient Decomposition-Based Multiclass and Multilabel Classification
Compressed dynamic mode decomposition for background modeling
Noise-robust speech feature processing with empirical mode decomposition
Full background decomposition of the CONUS experiment
Foreground-background decomposition in complex auditory scenes
Background Subtraction using Adaptive Singular Value Decomposition
Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow
Fast mode decomposition in few-mode fibers
Efficient and practical modular decomposition
Localized Spectral Decomposition (LSD): a robust and efficient finite element method for solving elliptic PDEs
Empirical mode decomposition with missing values
Zero modes in de Sitter background