Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis.
Jianze LiKonstantin UsevichPierre ComonPublished in: CoRR (2019)
Keyphrases
- convergence analysis
- low rank
- optimization algorithm
- cost function
- matrix completion
- particle swarm optimization
- matrix factorization
- objective function
- learning algorithm
- dynamic programming
- hybrid algorithm
- matrix decomposition
- data sets
- global convergence
- singular values
- convex optimization
- missing data
- simulated annealing
- principal component analysis
- small number