Hidden Markov Models and Applications

Chapter1. A Roadmap to Hidden Markov Models and A Review of its Application in Occupancy Estimation.- Chapter2. Bounded asymmetric Gaussian mixture-based hidden Markov models.- Chapter3. Using HMM to model neural dynamics and decode useful signals for neuroprosthetic control.- Chapter4. Fire Detection in Images with Discrete Hidden Markov Models.- Chapter5. Hidden Markov Models: Discrete Feature Selection in Activity Recognition.- Chapter6. Bayesian Inference of Hidden Markov Models using Dirichlet Mixtures.- Chapter7. Online learning of Inverted Beta-Liouville HMMs for Anomaly Detection in Crowd Scenes.- Chapter8. A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data.- Chapter9. Multivariate Beta-based Hidden Markov Models Applied to Human Activity Recognition.- Chapter10. Multivariate Beta-based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications.- Chapter11. Shifted-Scaled Dirichlet Based Hierarchical Dirichlet Process Hidden Markov Models with Variational Inference Learning.

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• Probabilidade e Estatística
• Matemática para cientistas da computação
• Engenharia electrónica
• Processamento de sinais
• Software matemático e estatístico

Hidden Markov models;machine learning, inference;Bayesian learning;infinite models;nonparametric Bayesian;supervised learning;semi-supervised learning;unsupervised learning