Low rank tensor recovery via iterative hard thresholding.
Holger RauhutReinhold SchneiderZeljka StojanacPublished in: CoRR (2016)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- missing data
- hard thresholding
- linear combination
- convex optimization
- matrix factorization
- matrix completion
- singular value decomposition
- rank minimization
- low rank matrix
- denoising
- high dimensional data
- higher order
- semi supervised
- dimensionality reduction
- pairwise
- tensor factorization
- image denoising
- singular values
- machine learning
- norm minimization
- multi task
- multiscale
- image processing
- computer vision