An EM algorithm for robust Bayesian PCA with student's t-distribution.
Jiading GaiYong LiRobert L. StevensonPublished in: ICIP (2008)
Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- mixture model
- parameter estimation
- bayesian model selection
- gaussian mixture model
- probability density function
- mixture distribution
- maximum likelihood estimation
- probabilistic principal component analysis
- likelihood function
- generative model
- gaussian distribution
- prior distribution
- maximum a posteriori
- gaussian mixture
- hyperparameters
- expectation maximisation
- log likelihood
- posterior distribution
- maximum likelihood estimates
- face recognition
- principal component analysis
- bayesian networks
- posterior probability
- penalized likelihood
- model based clustering
- log likelihood function
- dimensionality reduction
- probabilistic model
- density estimation
- feature extraction
- mixture modeling
- feature space
- least squares
- support vector
- face images
- hidden variables
- unsupervised learning
- statistical model
- principal components
- estimate the model parameters
- computer vision