Low Rank Tensor Decompositions and Approximations.
Jiawang NieLi WangZequn ZhengPublished in: CoRR (2022)
Keyphrases
- low rank
- trace norm
- singular value decomposition
- high order
- frobenius norm
- tensor decomposition
- matrix decomposition
- matrix factorization
- matrix completion
- linear combination
- convex optimization
- missing data
- low rank matrix
- dimensionality reduction
- higher order
- tensor factorization
- semi supervised
- kernel matrix
- rank minimization
- high dimensional data
- low rank approximation
- singular values
- reconstruction error
- data matrix
- pairwise
- data mining
- low rank matrices
- robust principal component analysis
- minimization problems
- diffusion tensor
- principal component analysis
- least squares
- data analysis