Incremental manifold learning by spectral embedding methods.
Housen LiHao JiangRoberto BarrioXiangke LiaoLizhi ChengFang SuPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- manifold learning
- spectral methods
- low dimensional
- diffusion maps
- semi supervised
- nonlinear dimensionality reduction
- dimensionality reduction
- feature extraction
- subspace learning
- dimension reduction
- laplacian eigenmaps
- high dimensional
- manifold embedding
- high dimensional data
- spectral analysis
- manifold structure
- head pose estimation
- locally linear embedding
- manifold learning algorithm
- feature space
- nonlinear manifold
- locality preserving
- geodesic distance
- semi supervised learning
- principal component analysis
- input image
- active learning