A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold.
Bamdev MishraHiroyuki KasaiPratik JawanpuriaAtul SaroopPublished in: CoRR (2017)
Keyphrases
- subspace learning
- grassmann manifold
- manifold learning
- dimensionality reduction
- low dimensional
- principal component analysis
- data representation
- semi supervised
- linear subspace
- high dimensional data
- sparse coding
- face recognition
- sparse representation
- riemannian manifolds
- learning algorithm
- high dimensional
- shape analysis
- geodesic distance
- machine learning
- dimension reduction
- feature space
- euclidean space
- data points
- multiscale
- feature extraction