Predicting trajectory behaviour via machine-learned invariant manifolds.
Vladimír KrajnákShibabrat NaikStephen WigginsPublished in: CoRR (2021)
Keyphrases
- location prediction
- manifold learning
- feature space
- trajectory data
- affine invariant
- invariant properties
- euclidean space
- arbitrary dimension
- configuration space
- trajectories of moving objects
- pattern recognition
- cell complexes
- user behaviour
- geometric transformations
- invariant features
- low dimensional
- nearest neighbor
- spatio temporal
- high dimensional