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Hidden Markov models and steganalysis
Proceedings of the 2004 workshop on Multimedia and security, 2004In this paper we presented a novel approach to steganalysis. We formulated two problems for steganalysis and showed that these problems can be solved using the theory of hidden markov models, the case of LSB encoding is discussed in detail. Some suggestions about steganalysis of images using hidden markov field model conclude the paper.
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Partially exchangeable Hidden Markov Models
2009 European Control Conference (ECC), 2009Hidden Markov Models (HMMs) have become increasingly popular in recent years in a wide range of applications. Special subclasses of HMMs have been extensively studied in various contexts. In this work we give a necessary and sufficient condition for a partially exchangeable sequence to be a countable HMM, i.e.
Finesso L, Prosdocimi C
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Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 2011
This paper focuses on concept of Hidden Markov Model and its practical applications, with the detailed description of HMM based algorithms used in Named Entity Recognition. This paper is comprised of 9 sections. Section 1 provides brief introduction about Hidden Markov Model, Section 2 describes HMM in detail by making use of a practical problem ...
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This paper focuses on concept of Hidden Markov Model and its practical applications, with the detailed description of HMM based algorithms used in Named Entity Recognition. This paper is comprised of 9 sections. Section 1 provides brief introduction about Hidden Markov Model, Section 2 describes HMM in detail by making use of a practical problem ...
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Substitution Matrices and Hidden Markov Models
Journal of Computational Biology, 1995Hidden Markov models (HMMs) provide a general framework for expressing primary sequence consensus. HMMs can effectively be used to model and align protein families, and to search data bases. HMMs, however, have a large number of parameters. When only few sequences are available for model fitting, additional prior information must be incorporated into ...
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Segmental hidden Markov models
3rd European Conference on Speech Communication and Technology (Eurospeech 1993), 1993Mark J. F. Gales, Steve J. Young
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A time-efficient factorial hidden Semi-Markov model for non-intrusive load monitoring
Electric Power Systems Research, 2021Huaiqing Zhang, Wenxiong Peng
exaly
The partially observable hidden Markov model and its application to keystroke dynamics
Pattern Recognition, 2018John V Monaco, Charles C Tappert
exaly