Fast Unsupervised Tensor Restoration via Low-rank Deconvolution.
David ReixachJosep Ramon MorrosPublished in: CoRR (2024)
Keyphrases
- low rank
- trace norm
- image restoration
- high order
- semi supervised
- tensor decomposition
- frobenius norm
- missing data
- convex optimization
- low rank matrix
- image deblurring
- matrix completion
- linear combination
- matrix factorization
- singular value decomposition
- rank minimization
- least squares
- total variation
- kernel matrix
- unsupervised learning
- high dimensional data
- markov random field
- pairwise
- image processing
- higher order
- matrix decomposition
- denoising
- minimization problems
- motion blur
- low rank matrices
- data matrix
- robust principal component analysis
- blurred images
- supervised learning
- active learning
- pattern recognition
- feature extraction
- regularization parameter
- tensor factorization
- unsupervised feature selection
- feature space
- data sets
- dimensionality reduction