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» Robust optimization - methodology and applications
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SMA
2008
ACM
122views Solid Modeling» more  SMA 2008»
15 years 7 months ago
The cost of not knowing the radius
Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain siz...
Helmut Rieder, Matthias Kohl, Peter Ruckdeschel
CGF
2005
170views more  CGF 2005»
15 years 7 months ago
Structure Recovery via Hybrid Variational Surface Approximation
Aiming at robust surface structure recovery, we extend the powerful optimization technique of variational shape approximation by allowing for several different primitives to repre...
Jianhua Wu, Leif Kobbelt
CORR
2011
Springer
209views Education» more  CORR 2011»
14 years 11 months ago
Analysis and Improvement of Low Rank Representation for Subspace segmentation
We analyze and improve low rank representation (LRR), the state-of-the-art algorithm for subspace segmentation of data. We prove that for the noiseless case, the optimization mode...
Siming Wei, Zhouchen Lin
ICIP
2004
IEEE
16 years 9 months ago
Optimized space sampling for circular image cube trajectory analysis
Image Cube Trajectory (ICT) analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. The motion of points in 3D space is represented by...
Ingo Feldmann, Peter Kauff, Peter Eisert
MICCAI
2007
Springer
16 years 8 months ago
Combinatorial Optimization for Electrode Labeling of EEG Caps
Abstract. An important issue in electroencephalographiy (EEG) experiments is to measure accurately the three dimensional (3D) positions of the electrodes. We propose a system where...
Jean-Michel Badier, Mickaël Péchaud, R...