Time-varying Autoregression with Low Rank Tensors.
Kameron Decker HarrisAleksandr Y. AravkinRajesh RaoBingni Wen BruntonPublished in: CoRR (2019)
Keyphrases
- low rank
- high order
- matrix factorization
- convex optimization
- missing data
- rank minimization
- linear combination
- low rank matrix
- matrix completion
- singular value decomposition
- matrix decomposition
- higher order
- high dimensional data
- kernel matrix
- singular values
- minimization problems
- low rank matrices
- affinity matrix
- data matrix
- semi supervised
- tensor factorization
- pairwise
- collaborative filtering
- diffusion tensor
- low rank approximation
- image restoration
- data sets