A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation.
Behzad GhahremaniHessam BabaeePublished in: CoRR (2024)
Keyphrases
- low rank approximation
- tensor decomposition
- low rank
- tensor factorization
- singular value decomposition
- low rank matrix approximation
- high order
- nonnegative matrix factorization
- matrix factorization
- subspace learning
- kernel matrix
- data representation
- negative matrix factorization
- missing data
- spectral clustering
- dimensionality reduction
- convex optimization
- semi supervised
- iterative algorithms
- latent semantic indexing
- principal component analysis
- linear combination
- reconstruction error
- adjacency matrix
- matrix completion
- data dependent
- high dimensional data
- machine learning
- eigendecomposition
- least squares
- collaborative filtering
- training set
- pattern recognition