Style Adaptive Bayesian Tracking Using Explicit Manifold Learning.
Chan-Su LeeAhmed M. ElgammalPublished in: BMVC (2005)
Keyphrases
- manifold learning
- manifold embedding
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- high dimensional
- diffusion maps
- semi supervised
- subspace learning
- laplacian eigenmaps
- dimension reduction
- head pose estimation
- object tracking
- pattern recognition
- feature extraction
- manifold structure
- high dimensional data
- sparse representation
- riemannian manifolds
- geodesic distance
- particle filter
- maximum likelihood
- embedding space
- mean shift
- locally linear embedding
- gaussian processes
- data sets
- image representation
- signal processing
- object recognition
- training data
- learning algorithm