Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all.
Yann TraonmilinRémi GribonvalPublished in: CoRR (2015)
Keyphrases
- hilbert spaces
- low dimensional
- hilbert space
- high dimensional
- dimensionality reduction
- variational inequalities
- high dimensional data
- euclidean space
- principal component analysis
- manifold learning
- input space
- linear subspace
- finite dimensional
- dimension reduction
- infinite dimensional
- pattern recognition
- feature selection
- data points
- higher dimensional
- feature space
- von neumann
- face recognition