Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization.
Thomas Y. HouZhenzhen LiZiyun ZhangPublished in: CoRR (2020)
Keyphrases
- global convergence
- global optimum
- optimization methods
- convergence rate
- convergence analysis
- convergence speed
- low rank matrix recovery
- objective function
- cost function
- robust face recognition
- particle swarm
- optimization method
- computer vision
- low rank and sparse
- manifold learning
- nearest neighbor
- k means
- pairwise
- machine learning