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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 ...
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 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...
Robust multimedia watermarking: Hidden Markov model approach for video sequences
Watermarking Hidden Markov Model Wavelet domain Group of pictures
2010/10/12
Because of the large amount of frames, similarity between frames and temporal attacks (frame dropping, frame averaging, frame swapping etc.), the process for video watermarking is more difficult than ...
Robust multimedia watermarking: Hidden Markov model approach for video sequences
Watermarking Hidden Markov Model Wavelet domain Group of pictures
2010/3/17
Because of the large amount of frames, similarity between frames and temporal attacks (frame dropping, frame averaging, frame swapping etc.), the process for video watermarking is more difficult than ...
A non-parametric hidden Markov model for climate state identification
Hidden Markov models non-parametric two-state model
2009/3/12
Hidden Markov models (HMMs) can allow for the varying wet and dry cycles in the climate without the need to simulate supplementary climate variables. The fitting of a parametric HMM relies upon assump...
Chinese Lexical Analysis Using Hierarchical Hidden Markov Model
hierarchical hidden Markov model Chinese Lexical Analysis
2009/1/22
This paper presents a unified approach for Chinese lexical analysis using hierarchical hidden Markov model (HHMM), which aims to incorporate Chinese word seg-mentation, Part-Of-Speech tagging, dis-amb...
THE HIDDEN MARKOV MODEL OF CO-ARTICULATION AND ITS APPLICATION TO THE CONTINUOUS SPEECH RECOGNITION
Speech recognition High-order HMM Hybrid HMM/MLP
2013/6/27
the co-articulation is one of the main reasons that makes the speech recogn ition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend ...