Disconnected Manifold Learning for Generative Adversarial Networks.
Mahyar KhayatkhoeiManeesh SinghAhmed ElgammalPublished in: CoRR (2018)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- subspace learning
- high dimensional
- semi supervised
- feature extraction
- diffusion maps
- high dimensional data
- dimension reduction
- locally linear embedding
- laplacian eigenmaps
- generative model
- manifold learning algorithm
- head pose estimation
- discriminant projection
- latent space
- low dimensional manifolds
- locality preserving
- computer vision
- geodesic distance
- high dimensionality
- unsupervised learning
- pattern recognition
- manifold embedding
- machine learning
- data sets