Maximum likelihood modeling with Gaussian distributions for classification.
Ramesh A. GopinathPublished in: ICASSP (1998)
Keyphrases
- gaussian distribution
- maximum likelihood
- multi variate
- covariance matrices
- classification accuracy
- gaussian mixture model
- feature vectors
- em algorithm
- expectation maximization
- image classification
- feature space
- support vector
- maximum likelihood estimation
- classification algorithm
- parameter estimation
- machine learning
- multivariate gaussian
- text classification
- training set
- pattern recognition
- support vector machine svm
- support vector machine
- classification method
- feature extraction
- decision trees
- maximum a posteriori
- density estimation
- posterior distribution
- kl divergence
- feature selection
- computer vision