Bayesian Nonlinear Principal Component Analysis Using Random Fields
Heng LianPublished in: CoRR (2008)
Keyphrases
- random fields
- principal component analysis
- maximum entropy
- parameter estimation
- markov fields
- kernel pca
- conditional random fields
- markov random field
- non stationary
- kernel principal component analysis
- principal components
- random field models
- probabilistic model
- covariance matrix
- maximum likelihood
- autoregressive
- independent component analysis
- feature extraction
- gibbs sampler
- low dimensional
- posterior probability
- dimensionality reduction
- pseudo likelihood
- graphical models
- posterior distribution
- nonparametric density estimation
- linear discriminant analysis
- higher order
- decision theory
- bayesian estimation
- machine learning
- generative model
- dempster shafer
- graph cuts
- random field model
- prior knowledge
- bayesian networks
- face recognition