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IPMU
2010
Springer
13 years 6 months ago
Using Uncertainty Information to Combine Soft Classifications
The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of ...
Luisa M. S. Gonçalves, Cidália C. Fo...
CVPR
2009
IEEE
13 years 8 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
TIT
2008
102views more  TIT 2008»
13 years 4 months ago
Extremal Problems of Information Combining
Abstract--In this paper, we study moments of soft bits of binary-input symmetric-output channels and solve some extremal problems of the moments. We use these results to solve the ...
Yibo Jiang, Alexei E. Ashikhmin, Ralf Koetter, And...
EUSFLAT
2009
133views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
On the Information Provided by Uncertainty Measures in the Classification of Remote Sensing Images
This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an ...
Luisa M. S. Gonçalves, Cidália C. Fo...
AVI
2008
13 years 6 months ago
Revealing uncertainty for information visualization
Uncertainty in data occurs in domains ranging from natural science to medicine to computer science. By developing ways to include uncertainty in our information visualizations we ...
Meredith M. Skeels, Bongshin Lee, Greg Smith, Geor...