DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification.
Rui WangXiao-Jun WuZiheng ChenTianyang XuJosef KittlerPublished in: CoRR (2022)
Keyphrases
- manifold learning
- visual classification
- image classification
- geodesic distance
- low dimensional
- dimensionality reduction
- semi supervised
- high dimensional
- bag of features
- scene classification
- nonlinear dimensionality reduction
- multiple features
- linear classifiers
- feature extraction
- dimension reduction
- sparse representation
- riemannian manifolds
- high dimensional data
- face recognition
- semi supervised learning
- object recognition
- feature space
- locally linear embedding
- data sets
- input space
- euclidean space
- image representation
- visual features
- principal component analysis
- pairwise