Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space.
Nikolaos EvangelouFelix DietrichEliodoro ChiavazzoDaniel LehmbergMarina MeilaIoannis G. KevrekidisPublished in: J. Comput. Phys. (2023)
Keyphrases
- latent space
- diffusion maps
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- lower dimensional
- high dimensional data
- feature extraction
- latent variables
- gaussian process latent variable models
- principal component analysis
- data points
- feature space
- dimension reduction
- locally linear embedding
- euclidean distance
- generative model
- pattern recognition
- sparse representation
- matrix factorization
- euclidean space
- gaussian process
- feature selection
- linear discriminant analysis
- singular value decomposition
- parameter space
- learning algorithm
- gaussian processes
- higher dimensional
- text classification
- image classification
- image segmentation