Low-Rank Variance Estimation in Large-Scale Gmrf Models.
Dmitry M. MalioutovJason K. JohnsonAlan S. WillskyPublished in: ICASSP (3) (2006)
Keyphrases
- low rank
- rank minimization
- matrix completion
- probabilistic model
- missing data
- low rank matrix recovery
- matrix factorization
- singular value decomposition
- parameter estimation
- linear combination
- convex optimization
- non rigid structure from motion
- natural images
- image processing
- feature selection
- learning algorithm
- neural network