Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.
Kim-Han ThungPew-Thian YapEhsan AdeliSeong-Whan LeeDinggang ShenPublished in: Medical Image Anal. (2018)
Keyphrases
- matrix completion
- low rank
- denoising
- matrix factorization
- missing data
- rank minimization
- convex optimization
- linear combination
- semi supervised
- singular value decomposition
- singular values
- low rank matrices
- trace norm
- low rank matrix
- norm minimization
- total variation
- collaborative filtering
- high dimensional data
- kernel matrix
- image denoising
- image processing
- high order
- rank aggregation
- computer vision
- convex relaxation
- protein interaction networks
- low rank approximation
- data mining
- data sets