TEC Forecasting Based on Manifold Trajectories.
Enric Monte-MorenoAlberto García RigoManuel Hernández-PajaresHeng YangPublished in: Remote. Sens. (2018)
Keyphrases
- configuration space
- short term
- low dimensional
- weather forecasting
- moving object trajectories
- moving objects
- high dimensional
- manifold learning
- support vector regression
- medium term
- nonlinear dimensionality reduction
- long term
- degrees of freedom
- grey model
- euclidean space
- multiscale
- motion patterns
- lower dimensional
- trajectory data
- video sequences
- feature space
- phase space
- electricity consumption
- feature extraction
- parameter space
- trajectories of moving objects
- fisher information
- multiple targets
- riemannian manifolds
- neural network
- prediction model
- dimension reduction