A Constrained EM Algorithm for Principal Component Analysis.
Jong-Hoon AhnJong-Hoon OhPublished in: Neural Comput. (2003)
Keyphrases
- em algorithm
- principal component analysis
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- training procedure
- principal components
- likelihood function
- generative model
- maximum likelihood estimation
- gaussian mixture model
- maximum a posteriori
- dimensionality reduction
- low dimensional
- expectation maximisation
- incomplete data
- gaussian mixture
- dimension reduction
- mixture modeling
- penalized likelihood
- face recognition
- hidden variables
- probability density function
- linear discriminant analysis
- covariance matrix
- density estimation
- negative matrix factorization
- log likelihood
- maximum likelihood estimates
- finite mixture model
- matrix factorisation
- model based clustering
- feature space
- likelihood maximization
- machine learning
- probabilistic principal component analysis