Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model.
Akinori HidakaTakio KuritaPublished in: S+SSPR (2014)
Keyphrases
- discriminant analysis
- gaussian mixture model
- probability estimation
- discriminant subspace
- kernel principal component analysis
- decision trees
- mixture model
- feature vectors
- feature extraction
- linear discriminant analysis
- face recognition
- feature space
- naive bayes
- principal component analysis
- multi class classification
- em algorithm
- maximum likelihood
- expectation maximization
- probability density function
- density estimation
- support vector
- machine learning
- unsupervised learning
- roc curve
- classification trees
- image processing