Graph Regularized Low-Rank Tensor-Train for Robust Principal Component Analysis.
Seyyid Emre SofuogluSelin AviyentePublished in: IEEE Signal Process. Lett. (2022)
Keyphrases
- low rank
- robust principal component analysis
- trace norm
- low rank and sparse
- high order
- convex optimization
- linear combination
- missing data
- low rank matrix
- matrix completion
- singular value decomposition
- matrix factorization
- rank minimization
- high dimensional data
- semi supervised
- kernel matrix
- data matrix
- signal recovery
- minimization problems
- affinity matrix
- weighted graph
- norm minimization
- data sets
- higher order
- active learning