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Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning.
Alexandros Kontogiannis
Scott V. Elgersma
Andrew J. Sederman
Matthew P. Juniper
Published in:
CoRR (2024)
Keyphrases
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flow field
parameter learning
bayesian networks
generative model
optical flow
image sequences
maximum likelihood
image reconstruction
velocity field
three dimensional
probabilistic model
conditional random fields
computer vision
em algorithm
vector field
closed form