Nonconvex Low-Rank Tensor Completion from Noisy Data.
Changxiao CaiGen LiH. Vincent PoorYuxin ChenPublished in: NeurIPS (2019)
Keyphrases
- noisy data
- low rank
- missing data
- trace norm
- convex optimization
- low rank matrices
- frobenius norm
- robust principal component analysis
- tensor decomposition
- high order
- low rank matrix recovery
- matrix completion
- matrix factorization
- low rank and sparse
- low rank matrix
- missing values
- kernel matrix
- singular value decomposition
- rank minimization
- minimization problems
- nuclear norm
- objective function
- linear combination
- low rank approximation
- matrix decomposition
- total variation
- semi supervised
- high dimensionality
- tensor factorization
- data matrix
- higher order
- computer vision
- high dimensional data
- database
- pattern recognition
- collaborative filtering
- norm minimization
- dimensionality reduction