Distance Preserving Projection Space of Symmetric Positive Definite Manifolds.
Azadeh AlaviVishal M. PatelRama ChellappaPublished in: CoRR (2016)
Keyphrases
- distance preserving
- low dimensional
- riemannian manifolds
- euclidean space
- high dimensional
- spd matrices
- symmetric positive definite
- high dimensional data
- manifold learning
- random projections
- dimensionality reduction
- dimension reduction
- original data
- data points
- vector space
- principal component analysis
- input space
- geometric structure
- feature space
- distribution function
- lie group
- data sets
- diffusion tensor
- positive definite
- von neumann
- nearest neighbor