Averaging on Riemannian manifolds and unsupervised learning using neural associative memory.
Dimitri NowickiOleksiy DekhtyarenkoPublished in: ESANN (2005)
Keyphrases
- associative memory
- riemannian manifolds
- unsupervised learning
- euclidean space
- supervised learning
- vector space
- geometric structure
- semi supervised
- kohonen feature map
- dimensionality reduction
- mean shift
- multi class classification
- object recognition
- feature space
- parameter space
- manifold learning
- geodesic distance
- shape analysis
- feature selection
- expectation maximization
- model selection
- kernel methods
- data sets
- neural network
- covariance matrix
- pattern recognition
- learning algorithm
- active learning
- text classification
- pairwise