Sparse plus low-rank autoregressive identification in neuroimaging time series.
Raphaël LiégeoisBamdev MishraMattia ZorziRodolphe SepulchrePublished in: CoRR (2015)
Keyphrases
- autoregressive
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- moving average
- low rank representation
- robust principal component analysis
- linear combination
- non stationary
- matrix factorization
- regularized regression
- missing data
- convex optimization
- singular value decomposition
- random fields
- semi supervised
- matrix completion
- high order
- high dimensional data
- sar images
- sparse coding
- autoregressive moving average
- machine learning
- small number
- high dimensional
- arma model
- image processing
- sparse representation
- pairwise