Compressive parameter estimation with multiple measurement vectors via structured low-rank covariance estimation.
Yuanxin LiYuejie ChiPublished in: SSP (2014)
Keyphrases
- parameter estimation
- low rank
- maximum likelihood
- matrix factorization
- covariance matrices
- least squares
- convex optimization
- random fields
- maximum likelihood estimation
- missing data
- markov random field
- model selection
- estimation problems
- em algorithm
- linear combination
- singular value decomposition
- singular values
- parameter estimation algorithm
- rank minimization
- matrix completion
- low rank matrix
- expectation maximization
- semi supervised
- approximate inference
- compressive sensing
- parameter estimates
- high order
- collaborative filtering
- covariance matrix
- trace norm
- computer vision
- binary matrix
- matrix decomposition
- feature selection
- image segmentation
- pairwise
- feature vectors