Sampling and recovery of continuous sparse signals by maximum likelihood estimation.
Akira HirabayashiYosuke HironagaLaurent CondatPublished in: ICASSP (2013)
Keyphrases
- maximum likelihood estimation
- sparse sampling
- em algorithm
- maximum likelihood
- expectation maximization
- parameter estimation
- multivariate gaussian
- signal processing
- mixture of gaussians
- probability distribution
- high dimensional
- random sampling
- density function
- sample size
- boltzmann machine
- knn
- mixture model
- machine learning
- maximum a posteriori
- image segmentation
- band limited
- computer vision