A survey of subspace recycling iterative methods.
Kirk M. SoodhalterEric de SturlerMisha E. KilmerPublished 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