Sparse plus low-rank autoregressive identification in neuroimaging time series.
Raphaël LiégeoisBamdev MishraMattia ZorziRodolphe SepulchrePublished in: CDC (2015)
Keyphrases
- autoregressive
- low rank
- low rank matrix
- rank minimization
- low rank matrices
- moving average
- robust principal component analysis
- low rank representation
- non stationary
- matrix factorization
- convex optimization
- regularized regression
- linear combination
- missing data
- matrix completion
- high dimensional data
- semi supervised
- singular value decomposition
- random fields
- arma model
- high order
- autoregressive moving average
- sparse matrix
- high dimensional
- sar images
- k means
- image processing
- compressive sensing
- dimensionality reduction
- wavelet transform
- recommender systems
- image restoration
- bayesian networks