Modeling Hierarchical Seasonality Through Low-Rank Tensor Decompositions in Time Series Analysis.
Melih BarsbeyAli Taylan CemgilPublished in: IEEE Access (2023)
Keyphrases
- low rank
- trace norm
- singular value decomposition
- high order
- frobenius norm
- matrix decomposition
- tensor decomposition
- linear combination
- convex optimization
- missing data
- matrix factorization
- matrix completion
- singular values
- rank minimization
- higher order
- low rank matrix
- low rank matrices
- robust principal component analysis
- kernel matrix
- minimization problems
- low rank approximation
- data matrix
- high dimensional data
- dimensionality reduction
- neural network
- semi supervised
- data mining
- non rigid structure from motion
- face recognition