Approximation of Functions over Manifolds: A Moving Least-Squares Approach.
Barak SoberYariv AizenbudDavid LevinPublished in: CoRR (2017)
Keyphrases
- least squares
- policy evaluation
- set of basis functions
- robust estimation
- optical flow
- parameter estimation
- arbitrary dimension
- continuous functions
- neural network
- cell complexes
- approximation error
- euclidean space
- manifold learning
- basis functions
- high dimensional data
- moving objects
- reinforcement learning
- sparse linear
- real time