Neural Implicit Manifold Learning for Topology-Aware Generative Modelling.
Brendan Leigh RossGabriel Loaiza-GanemAnthony L. CateriniJesse C. CresswellPublished in: CoRR (2022)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- generative model
- dimension reduction
- diffusion maps
- feature extraction
- semi supervised
- subspace learning
- manifold structure
- laplacian eigenmaps
- head pose estimation
- high dimensional data
- locality preserving
- manifold learning algorithm
- neural network
- sparse representation
- embedding space
- unsupervised learning
- data sets
- principal component analysis
- feature selection
- discriminant projection