Maximum a posterior linear regression with elliptically symmetric matrix variate priors.
Wu ChouPublished in: EUROSPEECH (1999)
Keyphrases
- linear regression
- maximum a posterior
- symmetric matrix
- map estimation
- eigenvalue decomposition
- least squares
- maximum a posteriori
- markov random field
- semidefinite programming
- covariance matrix
- semidefinite
- maximum likelihood
- regression methods
- projection matrix
- noisy images
- ridge regression
- regression method
- machine learning
- blind source separation
- prior information
- bayesian framework
- em algorithm
- low dimensional
- higher order
- image reconstruction
- energy function
- principal component analysis
- motion estimation
- data points
- high dimensional