Maximum Likelihood Parameter Estimation for Latent Variable Models Using Sequential Monte Carlo.
Adam M. JohansenArnaud DoucetManuel DavyPublished in: ICASSP (3) (2006)
Keyphrases
- parameter estimation
- maximum likelihood
- sequential monte carlo
- latent variable models
- posterior distribution
- latent variables
- hidden variables
- em algorithm
- expectation maximization
- visual tracking
- hidden markov models
- particle filter
- latent dirichlet allocation
- approximate inference
- hyperparameters
- mixture model
- maximum a posteriori
- markov chain monte carlo
- exponential family
- gaussian mixture model
- particle filtering
- random variables
- probabilistic model
- image segmentation
- data mining
- gaussian process
- topic models
- least squares
- face recognition
- computer vision