Applying Manifold Learning to Plotting Approximate Contour Trees.
Shigeo TakahashiIssei FujishiroMasato OkadaPublished in: IEEE Trans. Vis. Comput. Graph. (2009)
Keyphrases
- geodesic distance
- manifold learning
- dimensionality reduction
- low dimensional
- semi supervised
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- high dimensional data
- dimension reduction
- subspace learning
- laplacian eigenmaps
- feature extraction
- decision trees
- manifold structure
- manifold learning algorithm
- locality preserving
- feature space
- tensor voting
- image processing
- sparse representation
- feature selection
- least squares
- data points
- learning process
- manifold embedding
- nonlinear manifold