Nonlinear dimensionality reduction for structural discovery in image processing.
David FloydRobert CloutierTeresa ZighPublished in: AIPR (2013)
Keyphrases
- nonlinear dimensionality reduction
- image processing
- manifold learning
- dimensionality reduction
- diffusion maps
- low dimensional
- high dimensional data
- maximum variance unfolding
- dimensionality reduction methods
- signal processing
- laplacian eigenmaps
- pattern recognition
- knowledge discovery
- image segmentation
- computer vision
- data mining
- medical imaging
- high dimensional
- riemannian manifolds
- nearest neighbor
- semi supervised
- data visualization
- subspace learning
- feature extraction
- feature selection