Pseudo-marginal Markov Chain Monte Carlo for Nonnegative Matrix Factorization.
Junfu DuMingjun ZhongPublished in: Neural Process. Lett. (2017)
Keyphrases
- nonnegative matrix factorization
- markov chain monte carlo
- parameter estimation
- posterior distribution
- probability distribution
- least squares
- markov chain
- negative matrix factorization
- matrix factorization
- bayesian inference
- monte carlo
- data representation
- generative model
- approximate inference
- posterior probability
- principal component analysis
- particle filter
- spectral clustering
- data association
- original data
- maximum likelihood
- simulated annealing
- particle filtering
- bayesian framework
- latent variables
- image processing
- model selection
- objective function