Geodesic Discriminant Analysis on Curved Riemannian Manifold.
Dongjun YuJianfeng LuJingyu YangPublished in: FSKD (5) (2009)
Keyphrases
- discriminant analysis
- riemannian manifolds
- geodesic distance
- euclidean space
- riemannian metric
- linear discriminant analysis
- shortest path
- manifold learning
- face recognition
- euclidean distance
- distance transform
- geometric structure
- feature extraction
- shape space
- principal component analysis
- distance metric
- vector space
- multi class classification
- dimensionality reduction
- feature space
- covariance matrices
- lie group
- reproducing kernel hilbert space
- log euclidean
- gaussian mixture
- parameter space
- dimension reduction
- covariance matrix
- unsupervised learning
- semi supervised
- support vector
- similarity measure
- closed curves
- feature selection
- computer vision
- data mining