A survey of subspace recycling iterative methods.

Kirk M. Soodhalter Eric de Sturler Misha E. Kilmer

Published in: CoRR (2020)

Keyphrases

iterative methods
image reconstruction from projections
computationally expensive
low dimensional
constrained optimization
principal component analysis

feature space
high dimensional data
iterative algorithms
subspace clustering
subspace learning
dimensionality reduction

linear subspace
high dimensional
real time
feature extraction
neural model

conjugate gradient method
tomographic image reconstruction
artificial neural networks
image segmentation
machine learning