A non-stationary random field model for earthquake slip

Journal of Seismology ◽

10.1007/s10950-019-09899-y ◽

2020 ◽

Vol 24 (2) ◽

pp. 423-441 ◽

Author(s):

J. Dhanya ◽

S. T. G. Raghukanth

Keyword(s):

Random Field ◽

Field Model ◽

Random Field Model ◽

Stationary Random Field

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Image Haze Removal Based on Transmission Map Using Hidden Markov Random Field Model

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e97.a.1820 ◽

2014 ◽

Vol E97.A (8) ◽

pp. 1820-1822 ◽

Author(s):

Min-Hyuk LEE ◽

Oh-Seol KWON

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Haze Removal ◽

Markov Random Field Model ◽

Markov Random ◽

Hidden Markov Random Field

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Optimal filters for a hidden Markov random field model

Mathematical and Computer Modelling ◽

10.1016/s0895-7177(00)00107-2 ◽

2000 ◽

Vol 31 (13) ◽

pp. 1-9

Author(s):

L. Aggoun ◽

L. Benkherouf ◽

A. Benmerzouga

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Hidden Markov ◽

Random Field Model ◽

Markov Random Field Model ◽

Optimal Filters ◽

Markov Random ◽

Hidden Markov Random Field

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Semantic Segmentation of PolSAR Images Using Conditional Random Field Model Based on Deep Features

Journal of Physics Conference Series ◽

10.1088/1742-6596/1168/4/042008 ◽

2019 ◽

Vol 1168 ◽

pp. 042008

Author(s):

Tao Hu ◽

Wei-hua Li ◽

Xian-xiang Qin

Keyword(s):

Random Field ◽

Field Model ◽

Conditional Random Field ◽

Semantic Segmentation ◽

Random Field Model ◽

Model Based ◽

Conditional Random Field Model

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Conserved dynamics of a two-dimensional random-field model

Physical Review E ◽

10.1103/physreve.48.r25 ◽

1993 ◽

Vol 48 (1) ◽

pp. R25-R28 ◽

Author(s):

Madan Rao ◽

Amitabha Chakrabarti

Keyword(s):

Random Field ◽

Field Model ◽

Two Dimensional ◽

Random Field Model

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A hybrid random field model for scalable statistical learning

Neural Networks ◽

10.1016/j.neunet.2009.06.017 ◽

2009 ◽

Vol 22 (5-6) ◽

pp. 603-613 ◽

Author(s):

A. Freno ◽

E. Trentin ◽

M. Gori

Keyword(s):

Random Field ◽

Statistical Learning ◽

Field Model ◽

Random Field Model

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Edge detection and linear feature extraction using a 2-D random field model

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/34.23115 ◽

1989 ◽

Vol 11 (1) ◽

pp. 84-95 ◽

Author(s):

Y.T. Zhou ◽

V. Venkateswar ◽

R. Chellappa

Keyword(s):

Feature Extraction ◽

Edge Detection ◽

Random Field ◽

Field Model ◽

Random Field Model ◽

Linear Feature ◽

Linear Feature Extraction

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Research on Event Extraction Method Based on A Lite BERT And Conditional Random Field Model

2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC)2021 IEEE 11th International Conference on Electronics Information and Emergency Communication (ICEIEC) ◽

10.1109/iceiec51955.2021.9463836 ◽

2021 ◽

Author(s):

Jie Du ◽

Liming Luo ◽

Zhong Sun

Keyword(s):

Random Field ◽

Extraction Method ◽

Field Model ◽

Conditional Random Field ◽

Event Extraction ◽

Random Field Model ◽

Conditional Random Field Model

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Visual Tracking Based on Dynamic Coupled Conditional Random Field Model

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2015.2488287 ◽

2016 ◽

Vol 17 (3) ◽

pp. 822-833 ◽

Author(s):

Yuqiang Liu ◽

Kunfeng Wang ◽

Dayong Shen

Keyword(s):

Random Field ◽

Visual Tracking ◽

Field Model ◽

Conditional Random Field ◽

Random Field Model ◽

Conditional Random Field Model

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Utilization of grey level co-occurrence matrix and Markov random field model for segmentation of colour textured images

Proceedings of the 2011 International Conference on Communication, Computing & Security - ICCCS '11 ◽

10.1145/1947940.1948027 ◽

2011 ◽

Author(s):

J. Mridula ◽

Dipti Patra

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Random Field Model ◽

Markov Random Field Model ◽

Markov Random ◽

Occurrence Matrix

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Image Steganography Using an Eight-Element Neighborhood Gaussian Markov Random Field Model

Digital Forensics and Watermarking - Lecture Notes in Computer Science ◽

10.1007/978-3-030-43575-2_21 ◽

2020 ◽

pp. 247-255

Author(s):

Yichen Tong ◽

Jiangqun Ni ◽

Wenkang Su

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Steganography ◽

Random Field Model ◽

Markov Random Field Model ◽

Gaussian Markov Random Field ◽

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