Nonnegative Matrix Factorization with Gaussian Process Priors.
Mikkel N. SchmidtHans LaurbergPublished in: Comput. Intell. Neurosci. (2008)
Keyphrases
- nonnegative matrix factorization
- gaussian process
- bayesian framework
- gaussian processes
- hyperparameters
- negative matrix factorization
- matrix factorization
- regression model
- least squares
- semi supervised
- data representation
- model selection
- spectral clustering
- prior information
- generative model
- prior knowledge
- document clustering
- latent variables
- original data
- maximum a posteriori
- principal component analysis
- random variables
- expectation maximization
- probabilistic model
- information retrieval
- machine learning
- em algorithm
- bayesian inference
- higher order
- image processing