Bayesian Nonlinear Principal Component Analysis Using Random Fields.
Heng LianPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- random fields
- principal component analysis
- maximum entropy
- kernel pca
- markov fields
- markov random field
- random field models
- kernel principal component analysis
- non stationary
- parameter estimation
- conditional random fields
- principal components
- probabilistic model
- gibbs sampler
- autoregressive
- dimensionality reduction
- pseudo likelihood
- random field model
- posterior distribution
- covariance matrix
- bayesian estimation
- independent component analysis
- bayesian networks
- face recognition
- bayesian inference
- posterior probability
- linear discriminant analysis
- maximum likelihood
- feature extraction
- decision theory
- markov chain monte carlo
- machine learning
- least squares
- probability distribution
- prior knowledge
- feature space
- image segmentation