Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications.
Yuwei WuYunde JiaPeihua LiJian ZhangJunsong YuanPublished in: IEEE Trans. Image Process. (2015)
Keyphrases
- sparse representation
- dictionary learning
- riemannian manifolds
- manifold learning
- sparse coding
- riemannian metric
- feature space
- positive definite
- euclidean space
- kernel function
- face recognition
- support vector
- high dimensional data
- dimensionality reduction
- image classification
- image patches
- object tracking
- image representation
- low dimensional
- fisher information
- reproducing kernel hilbert space
- test images
- kernel methods
- random projections
- signal processing
- loss function
- high dimensional
- vector space
- mean shift
- kernel matrix
- computer vision
- linear combination
- geodesic distance
- geometric structure
- covariance matrix