An Information Geometry of Statistical Manifold Learning.
Ke SunStéphane Marchand-MailletPublished in: ICML (2014)
Keyphrases
- manifold learning
- information geometry
- information theory
- fisher information
- geodesic distance
- dimensionality reduction
- low dimensional
- information theoretic
- semi supervised
- high dimensional
- dimension reduction
- feature extraction
- high dimensional data
- feature space
- unsupervised learning
- riemannian manifolds
- pattern recognition
- sparse representation
- data points
- multiscale