A Randomized Tensor Singular Value Decomposition based on the t-product.
Jiani ZhangArvind K. SaibabaMisha Elena KilmerShuchin AeronPublished in: CoRR (2016)
Keyphrases
- singular value decomposition
- dimensionality reduction
- singular vectors
- least squares
- tensor factorization
- tensor analysis
- singular values
- low rank
- latent semantic indexing
- dimension reduction
- principal component analysis
- high order
- higher order
- data matrix
- low rank approximation
- reconstruction error
- null space
- tensor decomposition
- high dimensional
- pattern recognition
- machine learning
- latent semantic analysis
- matrix completion
- low rank matrix