Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations.
Shenglong HuKe YePublished in: Math. Program. (2023)
Keyphrases
- decomposition method
- low rank
- trace norm
- low rank matrix
- high order
- frobenius norm
- tensor decomposition
- missing data
- matrix completion
- matrix factorization
- convex optimization
- singular value decomposition
- linear combination
- rank minimization
- decomposition algorithm
- kernel matrix
- higher order
- semi supervised
- high dimensional data
- closed form
- matrix decomposition
- approximation methods
- singular values
- robust principal component analysis
- minimization problems
- data matrix
- convergence rate
- feature extraction
- low rank matrices
- sparse matrix
- low rank approximation
- subband
- principal component analysis
- denoising
- image processing