Recursive Parameter Estimation of Beta-Liouville Hidden Markov Models
Author:
Affiliation:
1. Concordia University,CIISE Department,Montreal,Canada
2. Univ. Grenoble Alpes, CNRS, Grenoble INP*, G-SCOP *Institute of Engineering Univ. Grenoble Alpes,Grenoble,France,38000
Funder
Natural Sciences and Engineering Research Council of Canada
Université Grenoble Alpes
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872797.pdf?arnumber=9872797
Reference36 articles.
1. A tutorial on hidden Markov models and selected applications in speech recognition
2. Component Splitting-based Approach for Multivariate Beta Mixture Models Learning
3. A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering
4. Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas
5. Database quality assessment for interactive learning: Application to occupancy estimation
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