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SIAMSC
2011
219views more  SIAMSC 2011»
14 years 8 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
MIA
2010
104views more  MIA 2010»
14 years 8 months ago
Combining atlas based segmentation and intensity classification with nearest neighbor transform and accuracy weighted vote
In this paper, different methods to improve atlas based segmentation are presented. The first technique is a new mapping of the labels of an atlas consistent with a given intensit...
Michaël Sdika
NCA
2010
IEEE
14 years 8 months ago
Anatomy-based organization of morphology and control in self-reconfigurable modular robots
In this paper we address the challenge of realizing full-body behaviors in scalable modular robots. We present an experimental study of a biologically inspired approach to organize...
David Johan Christensen, Jason Campbell, Kasper St...
PR
2010
135views more  PR 2010»
14 years 8 months ago
Revisiting priority queues for image analysis
Many algorithms in image analysis require a priority queue, a data structure that holds pointers to pixels in the image, and which allows efficiently finding the pixel in the queu...
Cris L. Luengo Hendriks
PRL
2010
209views more  PRL 2010»
14 years 8 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel