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Dynamic Texture Segmentation Based on Improved Mixtures of Hidden Markov Model
Dynamic texture (DT) can be regarded as a movement pattern with certain repetition in time and space. Dynamic texture segmentation focus on the...
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Lokatt: a hybrid DNA nanopore basecaller with an explicit duration hidden Markov model and a residual LSTM network
BackgroundBasecalling long DNA sequences is a crucial step in nanopore-based DNA sequencing protocols. In recent years, the CTC-RNN model has become...
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Early Prediction of Mathematics Learning Achievement of Elementary Students Using Hidden Markov Model
Elementary students usually felt the fractions and decimals concepts were challenged concepts. This leads to misconceptions due to their symbolic...
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Expectile hidden Markov regression models for analyzing cryptocurrency returns
In this paper we develop a linear expectile hidden Markov model for the analysis of cryptocurrency time series in a risk management framework. The...
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Flexible hidden Markov models for behaviour-dependent habitat selection
BackgroundThere is strong incentive to model behaviour-dependent habitat selection, as this can help delineate critical habitats for important life...
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Voice Enabled Form Filling Using Hidden Markov Model
Speech Recognition technology is widely used for voice-enabled form filling. The manual process of filling out forms by ty** has become...
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Prediction of schizophrenia from activity data using hidden Markov model parameters
In this paper, we address the problem of predicting schizophrenia based on a persons measured motor activity over time. A key challenge to achieve...
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Hidden Markov Model for early prediction of the elderly’s dependency evolution in ambient assisted living
The integration of information and communication technologies (ICT) can be of great utility in monitoring and evaluating the elderly’s health...
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DBHC: Discrete Bayesian HMM Clustering
Sequence data mining has become an increasingly popular research topic as the availability of data has grown rapidly over the past decades. Sequence...
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The continuous-time hidden Markov model based on discretization. Properties of estimators and applications
In this paper we consider continuous-time hidden Markov processes (CTHMM). The model considered is a two-dimensional stochastic process
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A speech enhancement algorithm based on a non-negative hidden Markov model and Kullback-Leibler divergence
In this paper, we propose a supervised single-channel speech enhancement method that combines Kullback-Leibler (KL) divergence-based non-negative...
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Hamptonese and Hidden Markov Models
James Hampton was a quiet and secretive man who left behind a monumental work of visionary art, along with a strange handwritten script. Hampton's...
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The Predictive Power of Financial Stress on the Financial Markets Dynamics: Hidden Markov Model
This study investigates the predictive power of the financial stress on the dynamic of the Middle East and North Africa (MENA) financial market...
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Automatic block-wise genotype-phenotype association detection based on hidden Markov model
BackgroundFor detecting genotype-phenotype association from case–control single nucleotide polymorphism (SNP) data, one class of methods relies on...
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Fuzzy Hidden Markov Chain Based Models for Time-Series Data
The hidden Markov model (HMM) has shown a remarkable capability when dealing with time series data. However, when extended to multiple sequence...
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Inference of genomic landscapes using ordered Hidden Markov Models with emission densities (oHMMed)
BackgroundGenomes are inherently inhomogeneous, with features such as base composition, recombination, gene density, and gene expression varying...
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Event-Triggered quasi-synchronization of neural networks with hidden Markov model-based asynchronous target
This article is concerned with the event-triggered quasi-synchronization for discrete Markov jump neural networks (MJNNs). Considering that the slave...
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Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting—application to machine health prognostics
Time series subject to regime shifts have attracted much interest in domains such as econometry, finance or meteorology. For discrete-valued regimes,...
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Simulation of Chinese language and text information system processing mode based on hidden Markov model
With the popularization of computers, artificial intelligence technology has become more and more mature, among which speech recognition technology...
