Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots
Sensors, 2023 Pilots’ loss of situational awareness is one of the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are one of the main reasons for a lack of situational awareness without a proper system to detect these ...
Lina Gao, Changyuan Wang, Gongpu Wu
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A statistical multiresolution approach for face recognition using structural hidden Markov models [PDF]
, 2007 This paper introduces a novel methodology that combines the multiresolution feature of the discrete wavelet transform (DWT) with the local interactions of the facial structures expressed through the structural hidden Markov model (SHMM).
A. Amira +12 more
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Research on HMM based link prediction method in heterogeneous network
Tongxin xuebao, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Rong QIAN +4 more
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The Application of Baum-Welch Algorithm in Multistep Attack
The Scientific World Journal, 2014 The biggest difficulty of hidden Markov model applied to multistep attack is the determination of observations. Now the research of the determination of observations is still lacking, and it shows a certain degree of subjectivity.
Yanxue Zhang, Dongmei Zhao, Jinxing Liu
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Broad Phonetic Classification of ASR using Visual Based Features [PDF]
The Egyptian Journal of Language Engineering, 2020 : This paper presents a novel method of classifying speech phonemes. Four hybrid techniques based on the acoustic-phonetic approach and pattern recognition approach are used to emphasize the principle idea of this research.
Doaa Lehabik +3 more
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Asymmetric hidden Markov models [PDF]
International Journal of Approximate Reasoning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcos L. P. Bueno +3 more
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Study on driver’s turning intention recognition hybrid model of GHMM and GGAP-RBF neural network
Advances in Mechanical Engineering, 2018 The accuracy and real time are crucial in turning intention recognition. Therefore, a hybrid model of Gaussian mixture hidden Markov and generalized growing and pruning algorithm for radial basis function neural network is constructed to recognize driver
Shu Wang, Qiang Yu, Xuan Zhao
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Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Jinchang Ren +11 more
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fHMM: Hidden Markov Models for Financial Time Series in R
Journal of Statistical SoftwareHidden Markov models constitute a versatile class of statistical models for time series that are driven by hidden states. In financial applications, the hidden states can often be linked to market regimes such as bearish and bullish markets or ...
Lennart Oelschläger +2 more
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Error statistics of hidden Markov model and hidden Boltzmann model results
BMC Bioinformatics, 2009 Background Hidden Markov models and hidden Boltzmann models are employed in computational biology and a variety of other scientific fields for a variety of analyses of sequential data.
Newberg Lee A
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