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» Adaptive importance sampling in general mixture classes
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TOG
2012
184views Communications» more  TOG 2012»
11 years 9 months ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang
CSSC
2008
62views more  CSSC 2008»
13 years 7 months ago
An Adaptive Test for the Two-Sample Location Problem Based on U-Statistics
For the two-sample location problem we consider a general class of tests, all members of it are based on U-statistics. The asymptotic efficicacies are investigated in detail. We c...
Wolfgang Kössler, N. Kumar
TMI
2010
175views more  TMI 2010»
13 years 2 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
CVPR
2004
IEEE
14 years 9 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
CVPR
2012
IEEE
11 years 9 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele