Data-driven multiscale decompositions for forecasting and model discovery.

Daniel Dylewsky Molei Tao J. Nathan Kutz

Published in: CoRR (2019)

Keyphrases

data driven
multiscale
prior knowledge
computer vision
prediction model
data sets
high level
probability distribution
least squares
denoising
statistical model
grey theory
neural network model
experimental data
em algorithm
artificial neural networks
image segmentation
image processing
data mining