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Markov Observation Models and Deepfakes
MathematicsHerein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
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Time series segmentation with shifting means hidden markov models [PDF]
Nonlinear Processes in Geophysics, 2006 We present a new family of hidden Markov models and apply these to the segmentation of hydrological and environmental time series. The proposed hidden Markov models have a discrete state space and their structure is inspired from the shifting means ...
Ath. Kehagias, V. Fortin
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Transmission Line Fault Classification Using Hidden Markov Models
IEEE Access, 2019 The maintenance of power quality in electrical power systems depends on addressing the major disturbances that may arise during generation, transmission and distribution. Many studies aim to investigate these disturbances by analyzing the behavior of the
Jean Carlos Arouche Freire +4 more
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Constrained hidden Markov models for population-based haplotyping
BMC Bioinformatics, 2007 Background Haplotype Reconstruction is the problem of resolving the hidden phase information in genotype data obtained from laboratory measurements. Solving this problem is an important intermediate step in gene association studies, which seek to uncover
Toivonen Hannu +4 more
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Map representation using hidden markov models for mobile robot localization
MATEC Web of Conferences, 2018 This paper describes a map representation and localization system for a mobile robot based on Hidden Markov Models. These models are used not only to find a region where a mobile robot is, but also they find the orientation that it has.
Savage Jesus +3 more
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Introducing Busy Customer Portfolio Using Hidden Markov Model [PDF]
Iranian Journal of Management Studies, 2011 Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures.
Sepideh Emam, Abdollah Aaghaie
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Ingeniare: Revista Chilena de Ingeniería, 2007 Este trabajo da a conocer el sistema de desarrollo de software para el diseño y manipulación de modelos ocultos de Markov, denominado HTK. Actualmente, la técnica de modelos ocultos de Markov es la herramienta más efectiva para implementar sistemas ...
Roberto Carrillo Aguilar
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MathematicsRegime switching models have been widely studied for their ability to capture the dynamic behavior of time series data and are widely used in economic and financial data analysis.
Zhenni Tan, Yuehua Wu
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Modelling reassurances of clinicians with hidden Markov models
BMC Medical Research Methodology, 2019 Background A key element in the interaction between clinicians and patients with cancer is reassurance giving. Learning about the stochastic nature of reassurances as well as making inferential statements about the influence of covariates such as patient
Valentin Popov +2 more
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Peer Community JournalState-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas +8 more
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