Tensor Regression Using Low-rank and Sparse Tucker Decompositions.
Talal AhmedHaroon RajaWaheed U. BajwaPublished in: CoRR (2019)
Keyphrases
- low rank and sparse
- tensor decomposition
- low rank
- tensor factorization
- singular value decomposition
- high order
- signal recovery
- regression model
- convex optimization
- low rank matrix
- model selection
- matrix factorization
- higher order
- data sets
- negative matrix factorization
- missing data
- co occurrence
- data matrix
- collaborative filtering
- support vector
- linear combination
- learning algorithm