Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm.
Jian LouYiu-Ming CheungPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- trace norm
- norm minimization
- low rank
- frobenius norm
- convex optimization
- matrix completion
- low rank matrix
- rank minimization
- high order
- tensor decomposition
- robust principal component analysis
- low rank representation
- matrix factorization
- multi task
- low rank subspace
- minimization problems
- sparse representation
- linear combination
- interior point methods
- unsupervised feature selection
- missing data
- low rank matrices
- nuclear norm
- kernel matrix
- sparse coding
- singular value decomposition
- matrix decomposition
- regularization term
- kullback leibler divergence
- higher order
- data analysis
- compressive sensing
- feature selection
- objective function
- image segmentation
- image processing