Geometry Flow-Based Deep Riemannian Metric Learning.
Yangyang LiChaoqun FeiChuanqing WangHongming ShanRuqian LuPublished in: IEEE CAA J. Autom. Sinica (2023)
Keyphrases
- metric learning
- distance metric
- geodesic distance
- information geometry
- distance metric learning
- semi supervised
- machine learning and pattern recognition
- pairwise
- dimensionality reduction
- multi task
- distance function
- mahalanobis distance
- kernel matrix
- learning tasks
- linear transformation
- manifold learning
- semi supervised learning
- mahalanobis metric
- euclidean space
- shape analysis
- euclidean distance
- feature space
- geometric structure
- image classification
- subject to linear constraints
- data points
- data sets