Equiangular Subspaces in Euclidean Spaces.
Igor BallaBenny SudakovPublished in: Discret. Comput. Geom. (2019)
Keyphrases
- euclidean space
- low dimensional
- hilbert space
- data points
- wide class
- high dimensional
- higher dimensional
- high dimensional data
- riemannian manifolds
- metric space
- vector space
- shape analysis
- principal component analysis
- euclidean distance
- linear subspace
- dimensionality reduction
- feature space
- square root
- geodesic distance
- dimensional euclidean space
- finite dimensional
- support vector
- dimension reduction
- reproducing kernel hilbert space
- subspace learning
- computer vision
- nearest neighbor
- support vector machine
- similarity measure