Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs.
Melven Röhrig-ZöllnerJonas ThiesAchim BasermannPublished in: SIAM J. Sci. Comput. (2022)
Keyphrases
- low rank
- singular value decomposition
- high order
- singular values
- low rank matrix
- matrix completion
- tensor factorization
- matrix factorization
- matrix decomposition
- data matrix
- least squares
- low rank approximation
- linear combination
- rank minimization
- graphics processing units
- dimensionality reduction
- kernel matrix
- missing data
- reconstruction error
- convex optimization
- trace norm
- semi supervised
- low rank matrices
- minimization problems
- robust principal component analysis
- factorization method
- diffusion tensor
- high dimensional data
- higher order
- small number
- pairwise
- feature extraction
- non rigid structure from motion
- computer vision
- data mining