Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence.
Yuetian LuoAnru R. ZhangPublished in: CoRR (2021)
Keyphrases
- low rank
- high order
- gauss newton
- convergence analysis
- trace norm
- higher order
- convex optimization
- linear combination
- global convergence
- matrix factorization
- kernel matrix
- semi supervised
- missing data
- singular value decomposition
- convergence speed
- high dimensional data
- levenberg marquardt
- markov random field
- active appearance models
- convergence rate
- optimal solution
- image segmentation
- neural network
- machine learning
- learning algorithm
- dimensionality reduction
- face recognition
- image sequences