Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation.
Xiao YangMarc NiethammerPublished in: MICCAI (2) (2015)
Keyphrases
- low rank
- missing data
- matrix decomposition
- linear combination
- convex optimization
- low rank approximation
- matrix factorization
- frobenius norm
- matrix completion
- rank minimization
- low rank matrix
- singular value decomposition
- semi supervised
- kernel matrix
- high dimensional data
- finite element
- high order
- trace norm
- approximation methods
- minimization problems
- data matrix
- low rank matrices
- affinity matrix
- small number
- collaborative filtering
- high dimensional
- data analysis
- face recognition
- non rigid structure from motion
- image sequences
- machine learning