Disconnected Manifold Learning for Generative Adversarial Networks.
Mahyar KhayatkhoeiManeesh SinghAhmed ElgammalPublished in: NeurIPS (2018)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- semi supervised
- dimension reduction
- diffusion maps
- high dimensional
- laplacian eigenmaps
- high dimensional data
- nonlinear dimensionality reduction
- generative model
- manifold learning algorithm
- subspace learning
- sparse representation
- feature extraction
- unsupervised learning
- geodesic distance
- manifold structure
- locality preserving
- feature space
- head pose estimation
- manifold embedding
- nonlinear manifold
- discriminant projection
- probabilistic model
- locally linear embedding
- low dimensional manifolds
- image classification
- data analysis
- training data
- decision trees