On the Tensor SVD and the Optimal Low Rank Orthogonal Approximation of Tensors.
Jie ChenYousef SaadPublished in: SIAM J. Matrix Anal. Appl. (2008)
Keyphrases
- low rank
- high order
- singular value decomposition
- frobenius norm
- low rank approximation
- trace norm
- matrix decomposition
- tensor factorization
- tensor decomposition
- singular values
- low rank matrix
- linear combination
- missing data
- higher order
- matrix completion
- data matrix
- kernel matrix
- dimensionality reduction
- matrix factorization
- convex optimization
- closed form
- rank minimization
- diffusion tensor
- reconstruction error
- high dimensional data
- minimization problems
- least squares
- tensor field
- low rank matrices
- robust principal component analysis
- pairwise
- principal component analysis
- structure tensor
- markov random field
- collaborative filtering
- higher order singular value decomposition
- semi supervised