Discriminative feature selection for hidden Markov models using Segmental Boosting.
Pei YinIrfan A. EssaThad StarnerJames M. RehgPublished in: ICASSP (2008)
Keyphrases
- hidden markov models
- feature selection
- discriminative classifiers
- discriminative training
- discriminative features
- feature extraction
- decision stumps
- speech recognition
- markov models
- viterbi algorithm
- conditional random fields
- text classification
- machine learning
- sequential data
- support vector
- feature set
- support vector machine
- feature space
- gesture recognition
- unsupervised learning
- sequence classification
- model selection
- automatic speech recognition
- continuous hidden markov models
- hidden states
- weak classifiers
- ensemble methods
- bayesian network classifiers
- hidden state
- markov model
- feature subset
- baum welch
- random effects
- visual speech recognition
- pairwise