Recovering low-rank tensor from limited coefficients in any ortho-normal basis using tensor-singular value decomposition.
Shuli MaJianhang AiHuiqian DuLiping FangWenbo MeiPublished in: IET Signal Process. (2021)
Keyphrases
- low rank
- singular value decomposition
- trace norm
- frobenius norm
- tensor decomposition
- singular values
- singular vectors
- high order
- dimensionality reduction
- reconstruction error
- tensor factorization
- low rank matrix
- linear combination
- matrix completion
- low rank matrices
- kernel matrix
- rank minimization
- least squares
- matrix decomposition
- higher order
- missing data
- data matrix
- matrix factorization
- principal component analysis
- latent semantic indexing
- convex optimization
- high dimensional data
- low rank approximation
- small number
- factorization method
- minimization problems
- measurement matrix
- semi supervised
- gene expression data
- high dimensional
- feature extraction
- data sets