Oblique principal subspace tracking on manifold.
Florian YgerMaxime BerarGilles GassoAlain RakotomamonjyPublished in: ICASSP (2012)
Keyphrases
- low dimensional
- linear subspace
- lower dimensional
- high dimensional
- feature space
- manifold learning
- manifold embedding
- kalman filter
- grassmann manifold
- subspace learning
- image set
- principal component analysis
- real time
- dimensionality reduction
- particle filter
- locality preserving
- subspace clustering
- high dimensional data
- motion tracking
- motion analysis
- aerial images
- particle filtering
- partial occlusion
- hilbert space
- locality preserving projections
- principal components
- parameter space
- mean shift