Performance of low-rank approximations in tensor train format (TT-SVD) for large dense tensors.
Melven Röhrig-ZöllnerJonas ThiesAchim BasermannPublished in: CoRR (2021)
Keyphrases
- low rank approximation
- singular value decomposition
- tensor factorization
- high order
- low rank
- higher order singular value decomposition
- diffusion tensor
- tensor space
- kernel matrix
- positive definite
- tensor field
- order tensor
- nonnegative matrix factorization
- higher order
- singular values
- dimensionality reduction
- subspace learning
- reconstruction error
- dimension reduction
- spectral clustering
- pairwise
- latent semantic indexing
- structure tensor
- least squares
- data dependent
- principal component analysis
- iterative algorithms
- adjacency matrix
- matrix factorization
- kernel methods
- negative matrix factorization
- magnetic resonance images
- anisotropic diffusion
- denoising
- feature extraction
- learning algorithm