Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format.
Paul B. RohrbachSergey DolgovLars GrasedyckRobert ScheichlPublished in: CoRR (2020)
Keyphrases
- gaussian densities
- gaussian mixture
- upper bound
- higher order
- order tensor
- lower bound
- high order
- mixture model
- worst case
- multimedia
- tensor decomposition
- dimensionality reduction
- lower and upper bounds
- diffusion tensor
- bayesian networks
- expectation maximization
- gaussian mixture model
- denoising
- knowledge discovery
- file formats
- active learning
- metadata