Nonlinear dimensionality reduction then and now: AIMs for dissipative PDEs in the ML era.
Eleni D. KoronakiNikolaos EvangelouCristina P. Martin-LinaresEdriss S. TitiIoannis G. KevrekidisPublished in: CoRR (2023)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- low dimensional
- dimensionality reduction
- maximum likelihood
- partial differential equations
- high dimensional data
- locally linear embedding
- laplacian eigenmaps
- maximum variance unfolding
- riemannian manifolds
- high dimensional
- dimensionality reduction methods
- em algorithm
- image processing
- level set
- multi dimensional
- face recognition
- image segmentation