Keyphrases
- em algorithm
- principal components analysis
- kernel principal component analysis
- kernel pca
- principal component analysis
- expectation maximization
- principal components
- face recognition
- linear discriminant analysis
- mixture model
- maximum likelihood
- subspace methods
- maximum likelihood estimation
- parameter estimation
- feature extraction
- feature space
- gaussian mixture model
- expectation maximisation
- covariance matrix
- gaussian mixture
- dimensionality reduction
- log likelihood
- likelihood function
- generative model
- support vector machine
- kernel matrix
- kernel function
- hidden variables
- incomplete data
- maximum a posteriori
- probability density function
- likelihood maximization
- density estimation
- low dimensional
- probabilistic model
- kernel methods
- spectral clustering
- high dimensional
- mixture modeling
- finite mixture models