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» Working Models for Uncertain Data
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155
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MICCAI
2004
Springer
15 years 10 months ago
An Anisotropic Material Model for Image Guided Neurosurgery
In order to combine preoperative data with intraoperative scans for image-guided neurosurgery visualization, accurate registration is necessary. It has been determined previously t...
Corey Kemper, Ion-Florin Talos, Alexandra Golby, P...
146
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COMPSYSTECH
2007
15 years 9 months ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...
115
Voted
CIARP
2006
Springer
15 years 8 months ago
A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures
The detection and modeling of the human spine from scanned 3D data is an important issue in biomedical shape analysis. It can be useful for avoiding invasive treatments like radiog...
Y. Santiesteban, J. M. Sanchiz, José Mart&i...
CAINE
2007
15 years 6 months ago
Parameter Estimation via Analysis of Fuzzy Clusters (PEAF): An Algorithm to Estimate Parameters of Agent-Based Models
Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors bef...
Shahab Sheikh-Bahaei, C. Anthony Hunt
IJCAI
2003
15 years 6 months ago
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Dirk Hähnel, Sebastian Thrun, Wolfram Burgard