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MICCAI
2003
Springer
16 years 7 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
16 years 18 days ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
ISMIR
2004
Springer
173views Music» more  ISMIR 2004»
15 years 11 months ago
Stochastic Model of a Robust Audio Fingerprinting System
An audio fingerprint is a compact representation of the perceptually relevant parts of audio content. A suitable audio fingerprint can be used to identify audio files, even if ...
Peter Jan O. Doets, Reginald L. Lagendijk
EMO
2006
Springer
170views Optimization» more  EMO 2006»
15 years 9 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
CSCLP
2008
Springer
15 years 8 months ago
Robust Solutions in Unstable Optimization Problems
We consider constraint optimization problems where costs (or preferences) are all given, but some are tagged as possibly unstable, and provided with a range of alternative values. ...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...