Nonnegative Tensor-Train Low-Rank Approximations of the Smoluchowski Coagulation Equation.
Gianmarco ManziniErik SkauDuc P. TruongRaviteja VangaraPublished in: LSSC (2021)
Keyphrases
- low rank approximation
- tensor factorization
- nonnegative matrix factorization
- singular value decomposition
- matrix decomposition
- low rank
- low rank matrix approximation
- matrix factorization
- high order
- dimensionality reduction
- spectral clustering
- negative matrix factorization
- subspace learning
- higher order
- objective function
- iterative algorithms
- data representation
- kernel matrix
- latent semantic indexing
- reconstruction error
- least squares
- data dependent
- manifold learning
- adjacency matrix
- low dimensional
- collaborative filtering
- pattern recognition