Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space.
Nikolaos EvangelouFelix DietrichEliodoro ChiavazzoDaniel LehmbergMarina MeilaIoannis G. KevrekidisPublished in: CoRR (2022)
Keyphrases
- latent space
- diffusion maps
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- latent variables
- semi supervised
- high dimensional data
- dimension reduction
- lower dimensional
- principal component analysis
- feature extraction
- sparse representation
- gaussian process latent variable models
- data points
- pattern recognition
- gaussian process
- locally linear embedding
- feature space
- high dimensionality
- random variables
- image classification
- random projections
- prior knowledge
- feature vectors
- pairwise