-shrinkage nuclear norm for low-rank tensor completion.
Chunsheng LiuHong ShanChunlei ChenPublished in: Neurocomputing (2020)
Keyphrases
- low rank
- nuclear norm
- high order
- trace norm
- frobenius norm
- tensor decomposition
- low rank matrix
- matrix completion
- low rank matrices
- missing data
- linear combination
- matrix factorization
- ell norm
- convex optimization
- singular value decomposition
- kernel matrix
- minimization problems
- rank minimization
- image denoising
- semi supervised
- high dimensional data
- higher order
- norm minimization
- tensor factorization
- data matrix
- singular values
- denoising
- original data
- natural images
- low dimensional
- dimensionality reduction
- pattern recognition
- feature selection