A weighted singular value decomposition for the discrete inverse problems.
Meisam JoziSaeed KarimiPublished in: Numer. Linear Algebra Appl. (2018)
Keyphrases
- singular value decomposition
- inverse problems
- image reconstruction
- global optimization
- singular values
- convex optimization
- least squares
- optimization methods
- optimization problems
- latent semantic indexing
- principal component analysis
- dimensionality reduction
- low rank approximation
- low rank
- early vision
- partial differential equations
- error minimization
- singular vectors
- computationally expensive
- pattern recognition
- image restoration
- higher order
- denoising
- multiscale
- feature selection
- machine learning