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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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50 relations
Apertium
Bayesian programming
Bioinformatics
Bitext word alignment
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2006
2006
Person Movement Prediction Using Hidden Markov Models
A. Gellert
,
L. Vintan
,
Lucian Blaga
,
L. Vintan
,
T. Ungerer
2006
Corpus ID: 107709186
Ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the…
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2006
2006
Gait Recognition Using Hidden Markov Model
Changhong Chen
,
Jimin Liang
,
Heng Zhao
,
Haihong Hu
International Conference on Computing, Networking…
2006
Corpus ID: 35858360
Gait-based human identification is a challenging problem and has gained significant attention. In this paper, a new gait…
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Highly Cited
2003
Highly Cited
2003
Using hidden Markov models and wavelets for face recognition
M. Bicego
,
U. Castellani
,
Vittorio Murino
12th International Conference on Image Analysis…
2003
Corpus ID: 5174155
In this paper, a new system for face recognition is proposed, based on hidden Markov models (HMM) and wavelet coding. A sequence…
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Highly Cited
2001
Highly Cited
2001
Image interpolation using wavelet based hidden Markov trees
Kentaro Kinebuchi
,
D. D. Muresan
,
T. Parks
IEEE International Conference on Acoustics…
2001
Corpus ID: 16634999
Hidden Markov trees in the wavelet domain are capable of accurately modeling the statistical behavior of real world signals by…
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2000
2000
Noise-compensated hidden Markov models
Ivandro Sanches
IEEE Transactions on Speech and Audio Processing
2000
Corpus ID: 12049569
The technique of hidden Markov models has been established as one of the most successful methods applied to the problem of speech…
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Highly Cited
1998
Highly Cited
1998
Combining articulatory and acoustic information for speech recognition in noisy and reverberant environments
K. Kirchhoff
ICSLP
1998
Corpus ID: 10534499
Robust speech recognition under varying acoustic conditions may be achieved by exploiting multiple sources of information in the…
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Highly Cited
1997
Highly Cited
1997
Hidden Markov model parsing of video programs
W. Wolf
IEEE International Conference on Acoustics…
1997
Corpus ID: 341981
This paper introduces statistical parsing of video programs using hidden Markov models (HMMs). The fundamental units of a video…
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1995
1995
Texture Classification Using Noncausal Hidden Markov Models
Bennett R. Povlow
,
S. Dunn
IEEE Transactions on Pattern Analysis and Machine…
1995
Corpus ID: 22494321
This paper addresses the problem of using noncausal hidden Markov models (HMMs) for texture classification. In noncausal models…
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Highly Cited
1991
Highly Cited
1991
Mechanical system monitoring using hidden Markov models
Larry Heck
,
J. McClellan
IEEE International Conference on Acoustics…
1991
Corpus ID: 62572922
A hidden Markov model (HMM)-based approach to mechanical system monitoring is presented. The resulting system is shown to be…
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Highly Cited
1989
Highly Cited
1989
Hidden Markov Model Analysis of Force/ Torque Information in Telemanipulation
B. Hannaford
,
P. Lee
International Symposium on Experimental Robotics
1989
Corpus ID: 5630477
A new model is developed for prediction and analysis of sensor information recorded during robotic performance of tasks by…
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