Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
Caoyuan LiHong-Bo XieKerrie L. MengersenXuhui FanRichard Yi Da XuScott A. SissonSabine Van HuffelPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- nonnegative matrix factorization
- dirichlet process
- nonparametric bayesian
- dirichlet processes
- mixture model
- posterior distribution
- gaussian processes
- bayesian model
- negative matrix factorization
- variational inference
- matrix factorization
- multi task learning
- least squares
- maximum likelihood
- principal component analysis
- bayesian inference
- markov chain monte carlo
- probability distribution
- parameter estimation
- probabilistic model
- bayesian framework
- model selection
- expectation maximization
- document clustering
- spectral clustering
- objective function
- data sets
- em algorithm
- latent topics
- maximum a posteriori
- gaussian process
- topic models
- collaborative filtering
- multi task
- latent variables
- generative model
- image classification
- image features
- active learning
- multiscale
- computer vision
- information retrieval