Tensor Regression Using Low-Rank and Sparse Tucker Decompositions.
Talal AhmedHaroon RajaWaheed U. BajwaPublished in: SIAM J. Math. Data Sci. (2020)
Keyphrases
- tensor decomposition
- low rank and sparse
- low rank
- tensor factorization
- singular value decomposition
- high order
- regression model
- signal recovery
- convex optimization
- matrix factorization
- low rank matrix
- higher order
- high dimensional data
- missing data
- model selection
- linear combination
- data sets
- collaborative filtering
- semi supervised
- pairwise
- reinforcement learning
- machine learning