Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods.
John Aldo LeeMichel VerleysenPublished in: FSDM (2008)
Keyphrases
- data sets
- quality assessment
- nonlinear dimensionality reduction
- neighborhood structure
- high dimensional data
- manifold learning
- dimensionality reduction
- low dimensional
- image quality
- human visual system
- locally linear embedding
- visual quality
- data quality
- riemannian manifolds
- image quality assessment
- linear discriminant analysis
- image processing
- parameter space
- mean shift
- low level
- high dimensional
- feature extraction