Traffic classification and verification using unsupervised learning of Gaussian Mixture Models.
Hassan AlizadehAbdolrahman KhoshrouAndre ZuquetePublished in: M&N (2015)
Keyphrases
- unsupervised learning
- gaussian mixture model
- mixture model
- expectation maximization
- finite mixture models
- feature vectors
- supervised learning
- em algorithm
- speaker recognition
- model selection
- machine learning
- text classification
- maximum likelihood criterion
- classification accuracy
- feature space
- pattern recognition
- computer vision
- probability density function
- feature extraction
- training data
- feature selection
- gaussian distribution
- pattern classification
- self organizing maps
- dimensionality reduction
- semi supervised
- object recognition
- high dimensional
- maximum likelihood
- density estimation
- image classification
- speaker identification
- decision trees
- text mining