Low-Rank Convolutional Networks for Brain Tumor Segmentation.
Pooya AshtariFrederik MaesSabine Van HuffelPublished in: BrainLes@MICCAI (1) (2020)
Keyphrases
- low rank
- missing data
- linear combination
- matrix factorization
- low rank matrix
- matrix completion
- singular value decomposition
- brain tumor segmentation
- convex optimization
- high order
- rank minimization
- high dimensional data
- semi supervised
- matrix decomposition
- low rank matrices
- trace norm
- robust principal component analysis
- sparse coding
- machine learning
- computer vision
- singular values
- complex networks
- minimization problems
- higher order
- principal component analysis
- collaborative filtering
- least squares
- non rigid structure from motion
- pattern recognition
- similarity measure