A new quality assessment criterion for nonlinear dimensionality reduction.
Deyu MengYee LeungZongben XuPublished in: Neurocomputing (2011)
Keyphrases
- quality assessment
- nonlinear dimensionality reduction
- manifold learning
- low dimensional
- high dimensional data
- image quality
- dimensionality reduction
- data quality
- locally linear embedding
- image quality assessment
- riemannian manifolds
- visual quality
- dimensionality reduction methods
- high dimensional
- nearest neighbor
- feature selection
- dimension reduction
- human visual system
- image segmentation
- feature vectors
- data points
- knn
- principal component analysis