Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection.
Donghyeop HanHeeyoul ChoiChoonseog ParkYoonsuck ChoePublished in: IJCNN (2009)
Keyphrases
- feature selection
- blood vessels
- dimension reduction
- dimensionality reduction
- support vector
- feature space
- class separability
- laplacian eigenmaps
- pattern classification
- feature extraction
- text classification
- text categorization
- kernel function
- principal component analysis
- manifold learning
- kernel learning
- feature set
- mutual information
- nonlinear dimensionality reduction
- data visualization
- high dimensional
- classification accuracy
- data sets
- locally linear embedding
- kernel pca
- feature selection algorithms
- input space
- support vector machine
- kernel methods
- model selection
- low dimensional
- multi class