An unsupervised material learning method for imaging spectroscopy

Jordan, Johannes, Angelopoulou, Elli and Robles-Kelly, Antonio 2014, An unsupervised material learning method for imaging spectroscopy, in IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 2428-2435, doi: 10.1109/IJCNN.2014.6889441.

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Title An unsupervised material learning method for imaging spectroscopy
Author(s) Jordan, Johannes
Angelopoulou, Elli
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Conference name International Neural Network Society. Conference (2014 : Beijing, China)
Conference location Beijing, China
Conference dates 2014/07/06 - 2014/07/11
Title of proceedings IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks
Editor(s) [Unknown]
Publication date 2014
Series International Neural Network Society Conference
Start page 2428
End page 2435
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Vectors
Materials
Equations
Kernel
Manifolds
Prototypes
Maximum likelihood estimation
Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
ISBN 978-1-4799-1484-5
Language eng
DOI 10.1109/IJCNN.2014.6889441
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30123702

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