Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition.
Namgil LeeAndrzej CichockiPublished in: ISNN (2014)
Keyphrases
- low rank
- big data
- singular value decomposition
- tensor decomposition
- trace norm
- singular vectors
- frobenius norm
- singular values
- missing entries
- matrix decomposition
- matrix completion
- low rank matrix
- rank minimization
- tensor factorization
- dimensionality reduction
- least squares
- data analysis
- latent semantic indexing
- data matrix
- nuclear norm
- low rank approximation
- reconstruction error
- principal component analysis
- high order
- kernel matrix
- minimization problems
- knowledge discovery
- eigendecomposition
- low rank matrices
- factorization method
- linear combination
- higher order
- small number
- high dimensional
- pattern recognition
- data mining