Riemannian subspace tracking algorithms on Grassmann manifolds.
Markus BaumannUwe HelmkePublished in: CDC (2007)
Keyphrases
- low dimensional
- manifold learning
- euclidean space
- subspace learning
- euclidean metric
- clustering high dimensional data
- subspace clustering
- riemannian manifolds
- geodesic distance
- feature space
- high dimensional
- dimensionality reduction
- high dimensional data
- shape analysis
- subspace clusters
- lower dimensional
- affine invariant
- principal component analysis
- feature extraction
- kernel based nonlinear
- linear subspace
- subspace methods
- support vector