Bayesian Non-negative Matrix Factorization with Learned Temporal Smoothness Priors.
Mathieu CoïcJuan José BurredPublished in: LVA/ICA (2012)
Keyphrases
- negative matrix factorization
- matrix factorization
- nonnegative matrix factorization
- document clustering
- sparse representation
- principal component analysis
- bayesian framework
- spectral clustering
- constrained least squares
- maximum likelihood
- prior knowledge
- bayesian networks
- tensor factorization
- feature extraction
- machine learning
- missing data
- posterior distribution
- gaussian processes