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Hidden Markov model
Known as:
Hidden Markov models
, Poisson hidden markov model
, Hidden Markov Chain
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A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden…
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Apertium
Bayesian programming
Bioinformatics
Bitext word alignment
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Papers overview
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Highly Cited
2010
Highly Cited
2010
Inference in hidden Markov models
O. Cappé
,
É. Moulines
,
T. Rydén
Springer Series in Statistics
2010
Corpus ID: 120064925
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory…
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Review
2006
Review
2006
Inference in Hidden Markov Models
H. Nagaraja
Technometrics
2006
Corpus ID: 30946335
of the simple linear regression model. Multiple linear regression for two variables is discussed in Chapter 8, and that for more…
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Highly Cited
1998
Highly Cited
1998
Wavelet-based statistical signal processing using hidden Markov models
M. Crouse
,
R. Nowak
,
Richard Baraniuk
IEEE Transactions on Signal Processing
1998
Corpus ID: 5630861
Wavelet-based statistical signal processing techniques such as denoising and detection typically model the wavelet coefficients…
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Highly Cited
1997
Highly Cited
1997
Coupled hidden Markov models for complex action recognition
M. Brand
,
Nuria Oliver
,
A. Pentland
Proceedings of IEEE Computer Society Conference…
1997
Corpus ID: 5391819
We present algorithms for coupling and training hidden Markov models (HMMs) to model interacting processes, and demonstrate their…
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Highly Cited
1995
Highly Cited
1995
Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
C. Leggetter
,
P. Woodland
Computer Speech and Language
1995
Corpus ID: 14708613
Abstract A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker…
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Highly Cited
1992
Highly Cited
1992
Recognizing human action in time-sequential images using hidden Markov model
Junji Yamato
,
J. Ohya
,
K. Ishii
Proceedings IEEE Computer Society Conference on…
1992
Corpus ID: 28489640
A human action recognition method based on a hidden Markov model (HMM) is proposed. It is a feature-based bottom-up approach that…
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Highly Cited
1991
Highly Cited
1991
Hidden Markov Models for Speech Recognition
B. Juang
,
L. Rabiner
1991
Corpus ID: 17743203
The use of hidden Markov models for speech recognition has become predominant in the last several years, as evidenced by the…
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Review
1986
Review
1986
An introduction to hidden Markov models
L. Rabiner
,
B. Juang
IEEE ASSP Magazine
1986
Corpus ID: 11358505
The basic theory of Markov chains has been known to mathematicians and engineers for close to 80 years, but it is only in the…
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Highly Cited
1986
Highly Cited
1986
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
L. Bahl
,
P. Brown
,
P. D. Souza
,
R. Mercer
ICASSP '86. IEEE International Conference on…
1986
Corpus ID: 56128297
A method for estimating the parameters of hidden Markov models of speech is described. Parameter values are chosen to maximize…
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Highly Cited
1975
Highly Cited
1975
An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition –
Shinji Watanabe
,
Yasuhiro Minami
,
Atsushi Nakamura
,
Naonori Ueda
1975
Corpus ID: 5997941
The objective of the project is to examine recent progress in two major areas of research – computer science and neuroscience…
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