Manifold Regularized Transfer Distance Metric Learning.
Haibo ShiYong LuoChao XuYonggang WenPublished in: BMVC (2015)
Keyphrases
- distance metric learning
- nonlinear dimensionality reduction
- distance metric
- manifold learning
- metric learning
- image classification
- semi supervised
- low dimensional
- dimensionality reduction
- gender classification
- semidefinite programming
- riemannian manifolds
- preprocessing step
- high dimensional data
- geodesic distance
- feature space
- learning tasks
- transfer learning
- euclidean distance
- component analysis
- nearest neighbor classification
- parameter space
- kernel learning
- multi task
- distance function
- labeled data
- data points