A randomized tensor singular value decomposition based on the t-product.
Jiani ZhangArvind K. SaibabaMisha E. KilmerShuchin AeronPublished in: Numer. Linear Algebra Appl. (2018)
Keyphrases
- singular value decomposition
- dimensionality reduction
- singular vectors
- tensor analysis
- singular values
- tensor factorization
- least squares
- low rank
- dimension reduction
- reconstruction error
- latent semantic indexing
- high order
- principal component analysis
- tensor decomposition
- higher order
- low rank matrix
- high dimensional
- feature selection
- null space
- optical flow