Krylov subspace projection method for Sylvester tensor equation with low rank right-hand side.
Abdeslem Hafid BentbibSmahane El-HalouyEl Mostafa SadekPublished in: Numer. Algorithms (2020)
Keyphrases
- projection method
- low rank
- low rank representation
- trace norm
- high order
- high dimensional data
- frobenius norm
- rank minimization
- tensor decomposition
- eigendecomposition
- dimensionality reduction
- affinity matrix
- linear combination
- matrix factorization
- matrix completion
- missing data
- linear projection
- singular value decomposition
- regularized regression
- convex optimization
- kernel matrix
- subspace clustering
- low rank matrix
- low dimensional
- semi supervised
- higher order
- singular values
- nearest neighbor
- data analysis
- high dimensional
- tensor factorization
- principal component analysis
- subspace learning
- feature extraction
- feature selection
- learning algorithm
- pattern recognition
- markov random field
- data matrix
- sparse representation