Supervised Dirichlet Process Mixtures of Principal Component Analysis.
Jiangtao RenKang LiChaotao ChenPublished in: Neurocomputing (2018)
Keyphrases
- dirichlet processes
- dirichlet process
- principal component analysis
- mixture model
- unsupervised learning
- multi task learning
- gaussian processes
- dimensionality reduction
- bayesian model
- independent component analysis
- learning algorithm
- semi supervised
- probabilistic model
- supervised learning
- sampling algorithm
- face recognition
- generative model
- markov chain monte carlo
- dirichlet distribution
- expectation maximization
- em algorithm
- variational inference
- variational methods
- feature extraction
- feature selection
- posterior distribution
- gaussian mixture model
- low dimensional
- maximum likelihood
- graphical models
- bayesian framework
- learning problems
- latent topics
- theoretical analysis