Variational Beta Process Hidden Markov Models with Shared Hidden States for Trajectory Recognition

Hidden Markov model (HMM) is a vital model for trajectory recognition. As the number of hidden states in HMM is important and hard to be determined, many nonparametric methods like hierarchical Dirichlet process HMMs and Beta process HMMs (BP-HMMs) have been proposed to determine it automatically. A...

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Detalles Bibliográficos
Autores principales: Zhao, Jing, Zhang, Yi, Sun, Shiliang, Dai, Haiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534515/
https://www.ncbi.nlm.nih.gov/pubmed/34682013
http://dx.doi.org/10.3390/e23101290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534515/
https://www.ncbi.nlm.nih.gov/pubmed/34682013
http://dx.doi.org/10.3390/e23101290

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