Subspace-constrained approaches to low-rank fMRI acceleration.
Harry T. MasonNadine N. GraedelKarla L. MillerMark ChiewPublished in: NeuroImage (2021)
Keyphrases
- data mining
- low rank
- rank minimization
- matrix factorization
- low rank representation
- missing data
- high dimensional data
- low rank matrix
- linear combination
- matrix completion
- factorization methods
- singular value decomposition
- convex optimization
- eigendecomposition
- matrix decomposition
- least squares
- object detection
- kernel matrix
- minimization problems
- semi supervised
- high dimensional