Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing.
Chao ShenYu-Ting LinHau-Tieng WuPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- manifold learning
- signal processing
- long term
- diffusion maps
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- dimension reduction
- image processing
- subspace learning
- sparse representation
- feature extraction
- semi supervised
- laplacian eigenmaps
- head pose estimation
- locality preserving
- image registration
- principal component analysis
- medical imaging
- manifold learning algorithm
- discriminant projection
- geodesic distance
- feature space
- high dimensional data
- manifold structure
- face recognition
- locally linear embedding
- preprocessing
- learning algorithm
- nonlinear manifold