Multivariate Time-Series Analysis Via Manifold Learning.
Pedro Luiz Coelho RodriguesMarco CongedoChristian JuttenPublished in: SSP (2018)
Keyphrases
- manifold learning
- nonlinear manifold learning
- low dimensional
- dimensionality reduction
- diffusion maps
- semi supervised
- nonlinear dimensionality reduction
- high dimensional
- laplacian eigenmaps
- subspace learning
- generative topographic mapping
- feature extraction
- dimension reduction
- head pose estimation
- high dimensional data
- geodesic distance
- manifold structure
- sparse representation
- data sets
- nonlinear manifold
- manifold learning algorithm
- locally linear embedding
- manifold embedding
- feature space
- regression model
- locality preserving
- principal component analysis
- discriminant projection
- high dimensionality