The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence.
Yuning YangPublished in: CoRR (2019)
Keyphrases
- low rank
- global convergence
- low rank approximation
- trace norm
- high order
- convergence rate
- convergence speed
- singular value decomposition
- linear combination
- missing data
- optimization methods
- convex optimization
- kernel matrix
- matrix factorization
- semi supervised
- high dimensional data
- higher order
- eigendecomposition
- active learning
- dimensionality reduction
- subspace learning
- machine learning
- optimization method
- least squares
- approximation methods
- multiscale
- document clustering
- low dimensional
- high dimensional