Theoretical Bounds for Noise Filtration using Low-Rank Tensor Approximations.
Sergey PetrovNikolai ZamarashkinPublished in: CoRR (2023)
Keyphrases
- low rank
- missing data
- trace norm
- high order
- frobenius norm
- tensor decomposition
- matrix factorization
- matrix completion
- convex optimization
- linear combination
- singular value decomposition
- low rank matrix
- matrix decomposition
- kernel matrix
- rank minimization
- higher order
- missing values
- structure from motion
- lower bound
- semi supervised
- minimization problems
- approximation methods
- tensor factorization
- high dimensional data
- singular values
- dimensionality reduction
- data matrix
- multi task
- low rank matrices
- non rigid structure from motion
- feature selection
- low rank and sparse
- reconstruction error
- small number
- recommender systems
- multiscale