Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning.
Shixiang ChenZengde DengShiqian MaAnthony Man-Cho SoPublished in: CoRR (2020)
Keyphrases
- dictionary learning
- principal components
- proximal point
- principal component analysis
- learning algorithm
- convergence analysis
- optimization problems
- sparse coding
- sparse representation
- worst case
- dimensionality reduction
- convergence rate
- nearest neighbor
- multiscale
- variational inequalities
- bayesian networks
- computer vision