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Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.

L. An, M. Li, P. Zhang, Y. Wu, L. Jia, and W. Song. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3395-3404 (2016)

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An Lin

An-Pan Lin

Ion lin PetritÌ§an

Lin Lin

Other publications of authors with the same name

Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion.J. Duan, X. Tian, W. Ma, X. Qiu, P. Wang, and L. An. Entropy, 21 (7): 707 (2019)Research on Demand Analysis Model of Hot Product in Food Industry.H. Zhang, and A. Lin. QRS Companion, page 595-602. IEEE, (2020)Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.L. An, M. Li, P. Zhang, Y. Wu, L. Jia, and W. Song. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3395-3404 (2016)Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem.L. An, M. Li, M. Boudaren, and W. Pieczynski. BELIEF, volume 9861 of Lecture Notes in Computer Science, page 203-211. Springer, (2016)Towards more efficient ophthalmic disease classification and lesion location via convolution transformer.H. Wen, J. Zhao, S. Xiang, L. Lin, C. Liu, T. Wang, L. An, L. Liang, and B. Huang. Comput. Methods Programs Biomed., (2022)Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models.D. Chen, L. An, A. Niaparast, R. Ravi, and O. Rudenko. SODA, page 2411-2428. SIAM, (2023)Vergleichende Silberimprägnations- und elektronenmikroskopische Studien zum Nachweis degenerierender retino-geniculärer und retino-tectaler Afferenzen der RatteA. Lin. Uni Duisburg-Essen, (1989)Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise.L. An, M. Li, M. Boudaren, and W. Pieczynski. Int. J. Approx. Reason., (2018)Fault detection filtering of nonhomogeneous Markov switching memristive neural networks with output quantization.A. Lin, J. Cheng, J. Park, H. Yan, and W. Qi. Inf. Sci., (2023)Neuro-Symbolic Learning: Principles and Applications in Ophthalmology.M. Hassan, H. Guan, M. Aikaterini, Y. Wang, Q. Sun, S. Zeng, W. Liang, Y. Zhang, Z. Zhang, Q. Hu and 17 other author(s). CoRR, (2022)

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Disambiguation of "An, Lin"

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Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.

Please choose a person to relate this publication to

An Lin

An-Pan Lin

Ion lin PetritÌ§an

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "An, Lin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.

Please choose a person to relate this publication to

An Lin

An-Pan Lin

Ion lin PetritÌ§an

Lin Lin

Lin Lin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection.