Maximum likelihood parameter estimation of noisy data.
Bruce R. MusicusJae S. LimPublished in: ICASSP (1979)
Keyphrases
- noisy data
- parameter estimation
- maximum likelihood
- em algorithm
- maximum likelihood estimation
- expectation maximization
- noise tolerant
- model fitting
- parameter estimation algorithm
- noise free
- maximum a posteriori
- approximate inference
- missing data
- high dimensional
- learning from noisy data
- parameter estimates
- random fields
- likelihood function
- gaussian distribution
- estimation problems
- input data
- high dimensionality
- synthetic aperture radar
- hyperparameters
- missing values
- training data
- decision trees
- data mining
- least squares
- feature space
- data streams