Mixtures of Probabilistic Principal Component Analysers.
Michael E. TippingChristopher M. BishopPublished in: Neural Comput. (1999)
Keyphrases
- principal components
- principal component analysis
- independent components
- multivariate data
- dimensionality reduction
- probabilistic model
- hyperplane
- bayesian networks
- principal component regression
- kernel space
- principal components analysis
- uncertain data
- correlation coefficient
- covariance matrix
- gaussian mixture
- posterior probability
- expectation maximization
- training data
- face recognition
- feature selection
- neural network