Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms.
Canyi LuXi PengYunchao WeiPublished in: CVPR (2019)
Keyphrases
- low rank
- low rank matrix
- high order
- trace norm
- nuclear norm
- frobenius norm
- tensor decomposition
- matrix completion
- convex optimization
- linear combination
- low rank matrices
- missing data
- matrix factorization
- higher order
- rank minimization
- singular value decomposition
- high dimensional data
- ell norm
- kernel matrix
- semi supervised
- minimization problems
- norm minimization
- pairwise
- active learning
- approximation methods
- dimensionality reduction
- data points
- affinity matrix
- tensor factorization
- low rank approximation
- data matrix
- singular values