An improved incremental nonlinear dimensionality reduction for isometric data embedding.
Xiaofang GaoJiye LiangPublished in: Inf. Process. Lett. (2015)
Keyphrases
- manifold learning
- data embedding
- nonlinear dimensionality reduction
- low dimensional
- semi supervised
- dimensionality reduction
- locally linear embedding
- high dimensional
- dimension reduction
- high dimensional data
- feature extraction
- feature space
- pattern recognition
- sparse representation
- principal component analysis
- least squares
- machine learning
- singular value decomposition
- riemannian manifolds
- image processing
- computer vision