Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification.
Zhiwu HuangRuiping WangShiguang ShanXianqiu LiXilin ChenPublished in: ICML (2015)
Keyphrases
- metric learning
- spd matrices
- symmetric positive definite
- riemannian manifolds
- kernel matrix
- distance metric
- euclidean space
- diffusion tensor
- log euclidean
- pairwise
- learning tasks
- dimensionality reduction
- positive definite
- semi supervised
- distance function
- feature space
- multi task
- covariance matrices
- covariance matrix
- unsupervised learning
- low dimensional