A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold.
Yanhong FeiXian WeiYingjie LiuZhengyu LiMingsong ChenPublished in: CoRR (2023)
Keyphrases
- euclidean space
- deep learning
- riemannian manifolds
- shape analysis
- euclidean distance
- laplace beltrami
- vector space
- geometric structure
- data points
- metric space
- lie group
- unsupervised learning
- low dimensional
- tangent space
- geodesic distance
- machine learning
- reproducing kernel hilbert space
- fisher information
- multiscale
- spd matrices
- multi class classification
- support vector machine
- pattern recognition
- data sets
- symmetric positive definite