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128
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TNN
2010
14 years 6 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
A method is proposed for estimating radiometric response functions from noise observations. From the statistical properties of noise sources, the noise distribution for each scene...
102
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CVPR
1997
IEEE
15 years 3 months ago
1997
IEEE
In this paper we focus on using local 3D structure for segmentation. A tensor descriptor is estimated for each neighbourhood, i.e. for each voxel in the data set. The tensors are ...
83
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BIRD
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
JMLR
2006
14 years 11 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...