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SRDS
2007
IEEE
14 years 4 months ago
A Language-Based Approach for Improving the Robustness of Network Application Protocol Implementations
The secure and robust functioning of a network relies on the defect-free implementation of network applications. As network protocols have become increasingly complex, however, ha...
Laurent Burgy, Laurent Réveillère, J...
PRL
2010
310views more  PRL 2010»
13 years 8 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
CONTEXT
2003
Springer
14 years 3 months ago
GRAVA: An Architecture Supporting Automatic Context Transitions and Its Application to Robust Computer Vision
We describe a software development approach for vision that enhances robustness by making novel use of context. Conventional approaches to most image understanding problems suffe...
Paul Robertson, Robert Laddaga
ICRA
2005
IEEE
134views Robotics» more  ICRA 2005»
14 years 3 months ago
Robust Object Detection at Regions of Interest with an Application in Ball Recognition
— In this paper, we present a new combination of a biologically inspired attention system (VOCUS – Visual Object detection with a CompUtational attention System) with a robust ...
Sara Mitri, Simone Frintrop, Kai Pervölz, Har...
MP
2002
110views more  MP 2002»
13 years 9 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski