Tensor theta norms and low rank recovery.
Holger RauhutZeljka StojanacPublished in: Numer. Algorithms (2021)
Keyphrases
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- missing data
- low rank matrix
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- matrix completion
- higher order
- matrix decomposition
- semi supervised
- rank minimization
- kernel matrix
- high dimensional data
- low rank matrices
- minimization problems
- tensor factorization
- singular values
- non rigid structure from motion
- data matrix
- collaborative filtering
- worst case
- markov random field
- training set
- pattern recognition
- image processing