Internet-Wide Scanners Classification using Gaussian Mixture and Hidden Markov Models.
Giulia De SantisAbdelkader LahmadiJérôme FrançoisOlivier FestorPublished in: NTMS (2018)
Keyphrases
- hidden markov models
- gaussian mixture
- sequence classification
- minimum classification error
- mixture distributions
- discriminative training
- markov models
- conditional random fields
- pattern recognition
- em algorithm
- sequential data
- feature selection
- visual speech recognition
- closed form
- baum welch
- density estimation
- probability density function
- covariance matrix
- expectation maximization
- computer vision
- machine learning
- mixture model
- discriminative learning
- text classification
- visual speech
- higher order
- supervised learning
- information retrieval