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» Efficient Learning of Relational Object Class Models
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193
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IGARSS
2010
14 years 10 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
163
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CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
BIOINFORMATICS
1999
65views more  BIOINFORMATICS 1999»
15 years 3 months ago
Genetic Simulation Library
Summary: The Genetic Simulation Library (GSL) is a set of C++ programs and classes that can be used in individualbased simulation models of plant and animal populations. The class...
John S. Conery, Michael Lynch
120
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ICONIP
2004
15 years 4 months ago
An Auxiliary Variational Method
Variational methods have proved popular and effective for inference and learning in intractable graphical models. An attractive feature of the approaches based on the Kullback-Lei...
Felix V. Agakov, David Barber
216
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CVPR
2003
IEEE
16 years 5 months ago
Learning epipolar geometry from image sequences
We wish to determine the epipolar geometry of a stereo camera pair from image measurements alone. This paper describes a solution to this problem which does not require a parametr...
Yonatan Wexler, Andrew W. Fitzgibbon, Andrew Zisse...