Unsupervised Image Classification with a Hierarchical EM Algorithm.
Annabelle ChardinPatrick PérezPublished in: ICCV (1999)
Keyphrases
- em algorithm
- image classification
- expectation maximization
- unsupervised learning
- finite mixture model
- mixture model
- maximum likelihood
- gaussian mixture
- parameter estimation
- generative model
- classifier training
- maximum likelihood estimation
- expectation maximisation
- gaussian mixture model
- likelihood function
- incomplete data
- semi supervised
- mixture modeling
- hidden variables
- probability density function
- density estimation
- image features
- feature extraction
- supervised learning
- likelihood maximization
- mixture distribution
- minimum message length
- probabilistic principal component analysis
- model based clustering
- gibbs sampling
- log likelihood
- hierarchical clustering
- probabilistic model
- active learning
- bayesian framework
- visual words
- finite mixture models