Unsupervised image classification, segmentation, and enhancement using ICA mixture models.
Te-Won LeeMichael S. LewickiPublished in: IEEE Trans. Image Process. (2002)
Keyphrases
- mixture model
- image classification
- unsupervised learning
- gaussian mixture model
- bayesian information criterion
- feature extraction
- em algorithm
- finite mixture model
- independent component analysis
- density estimation
- generative model
- expectation maximization
- subspace analysis
- probabilistic model
- model selection
- segmentation method
- mixture modeling
- supervised learning
- level set
- segmentation algorithm
- maximum likelihood
- semi supervised
- image segmentation
- language model
- finite mixture models
- bag of words
- machine learning
- image representation
- image features
- multiscale
- signal processing
- automatic model selection
- finite mixtures
- feature selection
- image processing
- model based clustering
- face recognition
- probability density function
- decision trees
- similarity measure
- data sets
- visual words
- background subtraction
- generalized em algorithm