Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator.
Yuning YangYunlong FengJohan A. K. SuykensPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- trace norm
- low rank
- rank minimization
- low rank matrix
- norm minimization
- high order
- convex optimization
- low rank representation
- low rank subspace
- matrix completion
- matrix factorization
- sparsity constraints
- missing data
- ell norm
- linear combination
- robust principal component analysis
- tensor decomposition
- multi task
- semi supervised
- singular value decomposition
- frobenius norm
- high dimensional data
- data matrix
- matrix decomposition
- dimensionality reduction
- interior point methods
- tensor factorization
- higher order
- kernel matrix
- low rank matrices
- unsupervised feature selection
- feature selection
- singular values
- negative matrix factorization
- image processing