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MP
2008
100views more  MP 2008»
13 years 8 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 9 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 9 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
14 years 3 months ago
Less conservative robust control of constrained linear systems with bounded disturbances
— This paper develops a novel robust control method for linear systems subject to additive and bounded disturbances. The approach is based on constraint tightening method. The pr...
Reza Ghaemi, Jing Sun, Ilya V. Kolmanovsky
BILDMED
2008
13 years 10 months ago
Esophagus Segmentation by Spatially-Constrained Shape Interpolation
Abstract. The segmentation and visualization of the esophagus is helpful during planing and performing atrial ablation therapy to avoid esophageal injury. Only very few studies hav...
Andreas Fieselmann, Stefan Lautenschläger, Fr...