Randomized Tensor Singular Value Decomposition for Multidimensional Data Compression.
Abdeslem Hafid BentbibKarim KreitIsmail LabaaliPublished in: ISIVC (2022)
Keyphrases
- data compression
- singular value decomposition
- singular vectors
- dimensionality reduction
- tensor factorization
- tensor analysis
- data reduction
- low rank
- singular values
- least squares
- principal component analysis
- tensor decomposition
- high order
- latent semantic indexing
- compression algorithm
- dimension reduction
- compression ratio
- higher order
- reconstruction error
- compressed data
- low rank approximation
- multi dimensional
- high dimensional
- data matrix
- factorization method
- data cube
- image data
- linear discriminant analysis