Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions.
Qinqin NieBin ZhouPengfei ZhuQinghua HuHao ChengPublished in: ICANN (2) (2019)
Keyphrases
- metric learning
- gaussian distribution
- riemannian manifolds
- covariance matrices
- distance metric
- feature space
- euclidean space
- reproducing kernel hilbert space
- semi supervised
- maximum likelihood
- pairwise
- dimensionality reduction
- gaussian mixture model
- distance function
- covariance matrix
- multi task
- learning tasks
- geodesic distance
- mahalanobis distance
- kernel matrix
- manifold learning
- euclidean distance
- nonlinear dimensionality reduction
- vector space
- bayesian networks
- expectation maximization
- geometric structure
- mean shift
- distance measure
- principal component analysis
- probabilistic model
- pattern recognition