Novel Metric Using Laplacian Eigenmaps to Evaluate Ischemic Stress on the Torso Surface.
Wilson GoodBurak EremJaume Coll-FontBrian ZengerDana H. BrooksRob S. MacLeodMilan HoracekPublished in: CinC (2018)
Keyphrases
- laplacian eigenmaps
- manifold learning
- geodesic distance
- kernel pca
- nonlinear dimensionality reduction
- three dimensional
- graph laplacian
- low dimensional
- metric space
- d objects
- dimensionality reduction
- locally linear embedding
- euclidean space
- high dimensional
- feature vectors
- surface reconstruction
- distance function
- distance measure
- semi supervised
- support vector regression
- dynamic time warping
- range data
- euclidean distance
- riemannian manifolds
- smooth surfaces
- random walk