A Variational Bayesian EM Approach to Structured Sparse Signal Reconstruction.
Shaoyang LiXiaoming TaoJianhua LuPublished in: VTC Fall (2014)
Keyphrases
- signal reconstruction
- variational bayesian
- compressive sensing
- expectation maximization
- factor analysis
- basis functions
- matrix factorization
- image reconstruction
- exponential family
- random projections
- incomplete data
- dirichlet process
- em algorithm
- sparse representation
- object recognition
- mixture model
- maximum likelihood
- graphical models
- variational inference
- clustering method
- missing data
- parameter estimation
- linear combination
- independent component analysis
- image representation
- unsupervised learning
- multi task learning
- least squares
- state space
- probabilistic model
- high dimensional