Applications of Average Geodesic Distance in Manifold Learning.

Published in: RSKT (2008)

Keyphrases

geodesic distance
manifold learning
low dimensional
semi supervised
high dimensional
dimension reduction
high dimensional data
dimensionality reduction
riemannian manifolds
shortest path
feature extraction
sparse representation
model selection
signal processing
geometric structure
least squares
data sets