Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model [PDF]
, 2005 This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environment.
T.V. Duong +3 more
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Bayesian Nonparametric Hidden Semi-Markov Models [PDF]
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Matthew Johnson, Alan S. Willsky
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Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions [PDF]
, 2012 We discuss hidden Markov-type models for fitting a variety of multistate random walks to wildlife movement data. Discrete-time hidden Markov models (HMMs) achieve considerable computational gains by focusing on observations that are regularly spaced in ...
Langrock, R. +5 more
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Estimating hidden semi-Markov chains from discrete sequences. [PDF]
, 2003 International audienceThis article addresses the estimation of hidden semi-Markov chains from nonstationary discrete sequences. Hidden semi-Markov chains are particularly useful to model the succession of homogeneous zones or segments along sequences.
Guédon, Yann
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Large-vocabulary speaker-independent continuous speech recognition with semi-continuous hidden Markov models [PDF]
, 1989 A semi-continuous hidden Markov model based on the muluple vector quantization codebooks is used here for large.vocabulary speaker-independent continuous speech recognition in the techn,ques employed here.
H. W. Hon, K. F. Lee, X. D. Huang
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Capacity and Complexity of HMM Duration Modeling Techniques [PDF]
, 2005 The ability of a standard hidden Markov model (HMM) or expanded state HMM (ESHMM) to accurately model duration distributions of phonemes is compared with specific duration-focused approaches such as semi-Markov models or variable transition probabilities.
Johnson, Michael T
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Decoding Chinese stock market returns: three-state hidden semi-Markov model [PDF]
, 2017 In this paper, we employ a three-state hidden semi-Markov model (HSMM) to explain the time-varying distribution of the Chinese stock market returns since 2005.
Liu, Zhenya, Wang, Shixuan
core +6 more sources
Partially-Hidden Markov Models. [PDF]
, 2012 International audienceThis paper addresses the problem of Hidden Markov Models (HMM) training and inference when the training data are composed of feature vectors plus uncertain and imprecise labels.
Denoeux, Thierry +2 more
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Graphical models for social behavior modeling in face-to face interaction [PDF]
, 2016 International audienceThe goal of this paper is to model the coverbal behavior of a subject involved in face-to-face social interactions. For this end, we present a multimodal behavioral model based on a Dynamic Bayesian Network (DBN).
Bailly, Gérard +3 more
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Inferring broken detailed balance in the absence of observable currents [PDF]
, 2019 Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. {In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate ...
Bisker, Gili +3 more
core +3 more sources