Time Series Forecasting Using Manifold Learning.
Panagiotis PapaioannouRonen TalmonDaniela di SerafinoConstantinos I. SiettosPublished in: CoRR (2021)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- diffusion maps
- high dimensional
- feature extraction
- high dimensional data
- dimension reduction
- subspace learning
- head pose estimation
- manifold structure
- laplacian eigenmaps
- manifold learning algorithm
- locally linear embedding
- sparse representation
- geodesic distance
- training set
- preprocessing
- low dimensional manifolds
- neural network