Bounds for Codes in Products of Spaces, Grassmann, and Stiefel Manifolds.
Christine BachocYael Ben-HaimSimon LitsynPublished in: IEEE Trans. Inf. Theory (2008)
Keyphrases
- riemannian manifolds
- euclidean space
- vc dimension
- shape analysis
- euclidean distance
- metric space
- vector space
- upper bound
- data points
- low dimensional
- error correction
- geodesic distance
- lie group
- lower bound
- upper and lower bounds
- manifold learning
- feature vectors
- feature space
- fisher information
- worst case
- embedding space
- product recommendation
- low dimensional spaces
- learning algorithm
- subspace learning
- discriminant analysis
- covariance matrix
- distance function
- feature extraction