Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control.
Rika AntonovaMaksim MaydanskiyDanica KragicSam DevlinKatja HofmannPublished in: CoRR (2020)
Keyphrases
- manifold learning
- semi supervised
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- dimension reduction
- diffusion maps
- feature extraction
- high dimensional
- high dimensional data
- head pose estimation
- subspace learning
- manifold learning algorithm
- locality preserving
- pattern recognition
- locally linear embedding
- laplacian eigenmaps
- discriminant projection
- sparse representation
- intrinsic manifold
- manifold embedding
- data sets
- low dimensional manifolds
- embedding space
- data points
- face recognition