Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints.
Mark ChiewNadine N. GraedelKarla L. MillerPublished in: NeuroImage (2018)
Keyphrases
- low rank
- sampled data
- high dimensional data
- rank minimization
- low rank representation
- convex optimization
- missing data
- matrix factorization
- linear combination
- data analysis
- singular value decomposition
- low dimensional
- semi supervised
- high dimensional
- image reconstruction
- original data
- principal component analysis
- regularized regression
- high dimensionality
- high order
- feature space
- data sets
- machine learning