The Epsilon-Alternating Least Squares for Orthogonal Low-Rank Tensor Approximation and Its Global Convergence.
Yuning YangPublished in: SIAM J. Matrix Anal. Appl. (2020)
Keyphrases
- low rank
- global convergence
- low rank approximation
- high order
- trace norm
- convergence speed
- convergence rate
- singular value decomposition
- linear combination
- kernel matrix
- convex optimization
- matrix factorization
- missing data
- optimization methods
- higher order
- semi supervised
- high dimensional data
- stochastic gradient descent
- approximation algorithms
- dimensionality reduction
- collaborative filtering
- image processing
- feature selection
- approximation methods
- multi task
- step size
- principal component analysis
- data sets
- markov random field