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MONITORING FARMLAND LOSS CAUSED BY URBANIZATION IN BEIJING FROM MODIS TIME SERIES USING HIERARCHICAL HIDDEN MARKOV MODEL
Urban Encroachment onto Farmland Time Series Change Detection Hierarchical Hidden Markov Model (HHMM)
2018/5/16
In this study, we proposed a method to map urban encroachment onto farmland using satellite image time series (SITS) based on the hierarchical hidden Markov model (HHMM). In this method, the farmland ...
HIGH-RESOLUTION REMOTE SENSING IMAGE BUILDING EXTRACTION BASED ON MARKOV MODEL
Markov Model Contourlet Transform Map Clustering Spectral Feature Index Building Extraction High Resolution Remote Sensing Image
2018/5/17
With the increase of resolution, remote sensing images have the characteristics of increased information load, increased noise, more complex feature geometry and texture information, which makes the e...
Mixed state estimation for a linear Gaussian Markov model
Discrete dynamical system Boolean state of continuous linear transmission Boolean state variables noise markov chain
2015/8/10
We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, and an additive Gaussian ...
Mixed State Estimation for a Linear Gaussian Markov Model
Mixed State Estimation Linear Gaussian Markov Model
2015/7/9
We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, and an additive Gaussian ...
Broad Phonetic Class Recognition in a Hidden Markov Model Framework Using Extended Baum-Welch Transformations
Gradient Methods Viterbi Decoding
2015/3/10
Broad Phonetic Class Recognition in a Hidden Markov Model Framework Using Extended Baum-Welch Transformations.
A Markov Model of Machine Translation using Non-parametric Bayesian Inference
Markov Model Machine Translation Non-parametric Bayesian Inference
2014/3/20
Most modern machine translation systems use phrase pairs as translation units, allowing for accurate modelling of phraseinternal translation and reordering. However phrase-based approaches are much le...
A multi-agent nonlinear Markov model of the order book
A multi-agent nonlinear Markov model order book
2012/9/14
We introduce and treat rigorously a new multi-agent model of the limit order book. Our model is designed to explain a behavior of the market when new information a ecting the market arrives. Our model...
Low-parameter phylogenetic estimation under the general Markov model
Markov invariants phylogenetic invariants base-composition rate-variation quartets supertrees
2012/5/2
In their 2008 and 2009 papers, Sumner and colleagues introduced the "squangles" - a small set of Markov invariants for phylogenetic quartets. The squangles are consistent with the general Markov model...
A Bayesian hidden Markov model for imperfect debugging
Software reliability Failure times Bayes factor Model selection Abstract
2012/4/14
In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to ...
A Bayesian hidden Markov model for imperfect debugging
Software reliability Failure times Bayes factor Model selection Abstract
2012/4/15
In this paper we present a new model to describe software failures from a debugging process. Our model allows for the imperfect debugging scenario by considering potential introduction of new bugs to ...
A context dependent pair hidden Markov model for statistical alignment
Comparative genomics Contextual alignment DNA sequence alignment EM algorithm
2011/7/19
This article proposes a novel approach to statistical alignment of nucleotide sequences by introducing a context dependent structure on the substitution process in the underlying evolutionary model. W...
A context dependent pair hidden Markov model for statistical alignment
Comparative genomics Contextual alignment DNA sequence alignment EM algorithm Insertion deletion model
2011/9/6
Abstract: This article proposes a novel approach to statistical alignment of nucleotide sequences by introducing a context dependent structure on the substitution process in the underlying evolutionar...
An algebraic analysis of the two state Markov model on tripod trees
Phylogenetics Identi ability Invariant Two-State-Model
2011/3/1
Methods of phylogenetic inference use more and more complex models to generate trees from data. However, even simple models and their implications are not fully understood.Here, we investigate the two...
A Stochastic Markov Model for Coordinated Molecular Motors
Stochastic Markov Model Coordinated Molecular Motors
2010/12/28
Many cell functions are accomplished thanks to intracellular transport mechanisms of macromolecules along filaments.
The algebra of the general Markov model on phylogenetic trees and networks
general Markov model phylogenetic trees
2011/1/5
It is known that the Kimura 3ST model of sequence evolution on phylogenetic trees can be extended quite naturally to arbitrary split systems. However, this extension relies heavily on mathematical pec...