A Smoother-Predictor of 3D Hidden Gauss-Markov Random Fields for Weather Forecast

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8914424 ◽

2019 ◽

Author(s):

Alessandro Borri ◽

Francesco Carravetta ◽

Langford B. White

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Weather Forecast ◽

Markov Random ◽

Gauss Markov Random Fields

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Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields

2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) ◽

10.1109/icin51074.2021.9385544 ◽

2021 ◽

Author(s):

Nicholas C. Landolfi ◽

Daniel C. O'Neill ◽

Sanjay Lall

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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Optimal smoothing for spherical Gauss–Markov Random Fields with application to weather data estimation

European Journal of Control ◽

10.1016/j.ejcon.2016.11.001 ◽

2017 ◽

Vol 33 ◽

pp. 43-51 ◽

Author(s):

Alessandro Borri ◽

Francesco Carravetta ◽

Langford B. White

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Weather Data ◽

Markov Random ◽

Optimal Smoothing ◽

Gauss Markov Random Fields ◽

Data Estimation

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Gauss-Markov random fields (CMrf) with continuous indices

IEEE Transactions on Information Theory ◽

10.1109/18.623152 ◽

1997 ◽

Vol 43 (5) ◽

pp. 1560-1573 ◽

Author(s):

J.M.F. Moura ◽

S. Goswami

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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UNSUPERVISED SEGMENTATION OF HYPERSPECTRAL IMAGES USING GAUSS-MARKOV RANDOM FIELDS AND PCA

Frontiers of Remote Sensing Information Processing ◽

10.1142/9789812796752_0014 ◽

2003 ◽

pp. 329-345

Author(s):

C. H. Chen ◽

Hao Chen

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Hyperspectral Images ◽

Unsupervised Segmentation ◽

Markov Random ◽

Gauss Markov Random Fields

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Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss–Markov random fields

Pattern Recognition ◽

10.1016/s0031-3203(99)00072-2 ◽

2000 ◽

Vol 33 (4) ◽

pp. 555-571 ◽

Author(s):

Rafael Molina ◽

Aggelos K. Katsaggelos ◽

Javier Mateos ◽

Aurora Hermoso ◽

C.Andrew Segall

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Range Images ◽

Markov Random ◽

Relaxation Algorithms ◽

Gauss Markov Random Fields ◽

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Wavelet-Based Despeckling of SAR Images Using Gauss–Markov Random Fields

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2007.906093 ◽

2007 ◽

Vol 45 (12) ◽

pp. 4127-4143 ◽

Author(s):

Dusan Gleich ◽

Mihai Datcu

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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Identification of 2-D noncausal Gauss-Markov random fields

IEEE Transactions on Signal Processing ◽

10.1109/78.489058 ◽

1996 ◽

Vol 44 (3) ◽

pp. 759-764 ◽

Author(s):

R. Cusani ◽

E. Baccarelli

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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Large deviations analysis for the detection of 2D hidden Gauss-Markov random fields using sensor networks

2008 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2008.4518504 ◽

2008 ◽

Author(s):

Youngchul Sung ◽

H. Vincent Poor ◽

Heejung Yu

Keyword(s):

Sensor Networks ◽

Large Deviations ◽

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields

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Classification of hyperspectral spatial/spectral patterns using Gauss-Markov random fields

10.1117/12.666041 ◽

2006 ◽

Author(s):

Heidi A. Smartt ◽

J. Scott Tyo

Keyword(s):

Random Fields ◽

Markov Random Fields ◽

Markov Random ◽

Gauss Markov Random Fields ◽

Spectral Patterns

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Model parameter estimation for 2D noncausal Gauss-Markov random fields

Proceedings of 1995 IEEE International Symposium on Information Theory ◽

10.1109/isit.1995.531528 ◽

2002 ◽

Author(s):

R. Cusani ◽

E. Baccarelli ◽

S. Galli

Keyword(s):

Parameter Estimation ◽

Random Fields ◽

Markov Random Fields ◽

Model Parameter ◽

Model Parameter Estimation ◽

Markov Random ◽

Gauss Markov Random Fields

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