Robust low-rank tensor completion via transformed tensor nuclear norm with total variation regularization.
Duo QiuMinru BaiMichael K. NgXiongjun ZhangPublished in: Neurocomputing (2021)
Keyphrases
- low rank
- low rank matrix
- high order
- nuclear norm
- rank minimization
- matrix completion
- higher order
- missing data
- low rank matrices
- matrix factorization
- convex optimization
- linear combination
- singular value decomposition
- high dimensional data
- minimization problems
- semi supervised
- kernel matrix
- diffusion tensor
- singular values
- dimensionality reduction
- data matrix
- pairwise
- total variation
- approximation methods
- norm minimization
- sparse matrix
- affinity matrix
- image denoising
- image processing
- data sets