Posterior vs Parameter Sparsity in Latent Variable Models.
João GraçaKuzman GanchevBen TaskarFernando C. N. PereiraPublished in: NIPS (2009)
Keyphrases
- latent variable models
- latent variables
- posterior distribution
- probabilistic model
- real valued
- hidden markov models
- gaussian process
- hidden variables
- latent space
- sparse representation
- latent dirichlet allocation
- high dimensional
- probability distribution
- bayesian framework
- parameter space
- dynamical systems
- gaussian processes
- prior knowledge
- face recognition