Abstract: Patch-Based Learning of Shape, Appearance, and Motion Models from Few Training Samples by Low-Rank Matrix Completion.
Matthias WilmsHeinz HandelsJan EhrhardtPublished in: Bildverarbeitung für die Medizin (2017)
Keyphrases
- low rank
- matrix completion
- training samples
- kernel matrix
- learning algorithm
- supervised learning
- motion model
- matrix factorization
- rank minimization
- training data
- linear combination
- convex optimization
- trace norm
- learning process
- missing data
- semi supervised
- singular value decomposition
- high dimensional
- training set
- higher order
- high dimensional data
- collaborative filtering
- high order
- small number
- low rank matrix