Neurodynamic Flow Approach for Convex and Quasi-Convex Optimization on Riemannian Manifolds With Diagonal Metrics.
Xiaofeng LiaoYou ZhaoXian ZhouPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- convex optimization
- riemannian manifolds
- covariance matrix
- euclidean space
- low rank
- covariance matrices
- convex optimization problems
- convex relaxation
- primal dual
- vector space
- multi class classification
- geodesic distance
- total variation
- manifold learning
- geometric structure
- parameter space
- mean shift
- euclidean distance
- reproducing kernel hilbert space
- feature space
- augmented lagrangian
- image segmentation
- sample size
- image restoration
- multi class
- special case
- video sequences