IEEE - Institute of Electrical and Electronics Engineers, Inc. - Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data

2010 International Joint Conference on Neural Networks (IJCNN)

Author(s): Huanhuan Chen ; Cohn, A.G.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2010
Conference Location: Barcelona, Spain, Spain
Conference Date: 18 July 2010
Page(s): 1 - 8
ISBN (CD): 978-1-4244-6917-8
ISBN (Electronic): 978-1-4244-6918-5
ISBN (Paper): 978-1-4244-6916-1
ISSN (CD): 1098-7576
ISSN (Paper): 1098-7576
DOI: 10.1109/IJCNN.2010.5596298
Regular:

This paper proposes a probabilistic robust hyperbola mixture model based on a classification expectation maximization algorithm and applies this algorithm to Ground Penetrating Radar (GPR) spatial... View More

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