Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.
Haoran ChenYanfeng SunJunbin GaoYongli HuBaocai YinPublished in: CoRR (2016)
Keyphrases
- riemannian manifolds
- partial least squares regression
- euclidean space
- mean shift
- parameter space
- multi class classification
- vector space
- neural network
- geometric structure
- geodesic distance
- feature space
- manifold learning
- covariance matrix
- shape analysis
- high dimensional
- covariance matrices
- euclidean distance
- pattern recognition
- machine learning