Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion.
Jinshi YuGuoxu ZhouWeijun SunShengli XiePublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- low rank
- rank minimization
- low rank matrix
- frobenius norm
- low rank subspace
- nuclear norm
- low rank representation
- high order
- robust principal component analysis
- tensor decomposition
- trace norm
- convex optimization
- low rank matrices
- matrix factorization
- low rank approximation
- missing data
- matrix completion
- sparsity constraints
- rank constraint
- linear combination
- singular value decomposition
- singular values
- matrix decomposition
- semi supervised
- kernel matrix
- high dimensional data
- kernel matrices
- data matrix
- sparse matrix
- regularized regression
- collaborative filtering
- higher order
- machine learning
- tensor factorization
- minimization problems
- affinity matrix
- knn
- image processing