Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies.
Xiaoxiao LiuMarc NiethammerRoland KwittMatthew McCormickStephen R. AylwardPublished in: MICCAI (3) (2014)
Keyphrases
- low rank
- matrix factorization
- linear combination
- missing data
- convex optimization
- singular value decomposition
- rank minimization
- matrix completion
- low rank matrix
- semi supervised
- high dimensional data
- kernel matrix
- matrix decomposition
- trace norm
- non rigid structure from motion
- data matrix
- minimization problems
- high order
- low rank representation
- low rank matrices
- low rank approximation
- machine learning
- robust principal component analysis
- super resolution
- object detection
- image segmentation
- computer vision