Singular Value Decomposition Approximation via Kronecker Summations for Imaging Applications.
Clarissa C. GarveyChang MengJames G. NagyPublished in: SIAM J. Matrix Anal. Appl. (2018)
Keyphrases
- singular value decomposition
- singular vectors
- low rank approximation
- singular values
- least squares
- dimensionality reduction
- low rank
- reconstruction error
- dimension reduction
- image processing
- principal component analysis
- computer vision
- latent semantic indexing
- approximation algorithms
- null space
- matrix decomposition
- closed form
- data matrix
- factorization method
- measurement matrix