Riemannian Submanifold Tracking on Low-Rank Algebraic Variety.
Qian LiZhichao WangPublished in: AAAI (2017)
Keyphrases
- low rank
- missing data
- linear combination
- convex optimization
- matrix factorization
- manifold structure
- low rank matrix
- singular value decomposition
- semi supervised
- rank minimization
- matrix completion
- high order
- trace norm
- high dimensional data
- particle filter
- kernel matrix
- matrix decomposition
- euclidean space
- object tracking
- low rank matrices
- shape space
- robust principal component analysis
- riemannian manifolds
- appearance model
- input image
- computer vision
- dimensionality reduction
- manifold learning
- mean shift