A Riemannian gossip approach to subspace learning on Grassmann manifold.
Bamdev MishraHiroyuki KasaiPratik JawanpuriaAtul SaroopPublished in: Mach. Learn. (2019)
Keyphrases
- subspace learning
- grassmann manifold
- manifold learning
- dimensionality reduction
- low dimensional
- geodesic distance
- sparse representation
- riemannian manifolds
- shape analysis
- semi supervised
- linear subspace
- high dimensional data
- euclidean space
- high dimensional
- feature extraction
- data representation
- principal component analysis
- dimension reduction
- face recognition
- lie group
- sparse coding
- shape space
- riemannian metric
- learning algorithm
- feature space
- pattern recognition
- data sets
- data points
- image processing