Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation.
Benjamin T. RolfsBala RajaratnamDominique GuillotIan WongArian MalekiPublished in: NIPS (2012)
Keyphrases
- thresholding algorithm
- decision directed
- covariance matrix
- sparse data
- maximum likelihood estimation
- regularized regression
- dense motion estimation
- sparse reconstruction
- monte carlo simulation
- log likelihood function
- estimation process
- compressed sensing
- database
- density estimation
- sparse representation
- maximum likelihood
- denoising
- data points
- high dimensional
- multiscale
- image sequences
- computer vision