A Bernoulli filter approach to detection and estimation of hidden Markov models using cluttered observation sequences.
Karl GranströmPeter WillettYaakov Bar-ShalomPublished in: ICASSP (2015)
Keyphrases
- hidden markov models
- sequence classification
- markov models
- speech recognition
- sequential data
- gesture recognition
- kernel density
- conditional random fields
- real valued
- object detection
- parameter estimation
- markov model
- pairwise
- discriminative classifiers
- hidden states
- continuous hidden markov models
- hierarchical hidden markov model
- random effects
- baum welch
- viterbi algorithm
- noisy environments
- hidden state
- anomaly detection
- noise reduction