Constraint-Defined Manifolds: a Legacy Code Approach to Low-Dimensional Computation.
C. William GearIoannis G. KevrekidisPublished in: J. Sci. Comput. (2005)
Keyphrases
- low dimensional
- manifold learning
- high dimensional
- high dimensional data
- euclidean space
- dimensionality reduction
- feature space
- source code
- vector space
- nonlinear dimensionality reduction
- lower dimensional
- principal component analysis
- input space
- data points
- low dimensional manifolds
- higher dimensional
- low dimensional spaces
- multidimensional scaling
- machine learning
- linear dimensionality reduction
- graph embedding
- legacy software
- binary codes
- dimension reduction
- manifold structure
- laplacian eigenmaps
- riemannian manifolds
- reverse engineering
- pairwise distances
- similarity search