On Bayesian principal component analysis.
Václav SmídlAnthony QuinnPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- principal component analysis
- dimensionality reduction
- independent component analysis
- bayesian networks
- linear discriminant analysis
- bayesian inference
- data driven
- covariance matrix
- dimension reduction
- face images
- maximum likelihood
- bayesian learning
- discriminant analysis
- feature space
- posterior probability
- feature extraction
- low dimensional
- face recognition
- principal components
- random projections
- bayesian analysis
- bayesian decision
- linear discriminate analysis
- decision theory
- singular value decomposition
- negative matrix factorization
- neural network
- feature vectors
- pattern recognition
- artificial intelligence