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» A new concept of robustness
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CSDA
2004
124views more  CSDA 2004»
13 years 9 months ago
Fast and robust discriminant analysis
The goal of discriminant analysis is to obtain rules that describe the separation between groups of observations. Moreover it allows to classify new observations into one of the k...
Mia Hubert, Katrien van Driessen
ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
13 years 6 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
CORR
2011
Springer
161views Education» more  CORR 2011»
13 years 27 days ago
Doubly Robust Policy Evaluation and Learning
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
Miroslav Dudík, John Langford, Lihong Li
NOMS
2008
IEEE
175views Communications» more  NOMS 2008»
14 years 3 months ago
Analysis of application performance and its change via representative application signatures
Abstract—Application servers are a core component of a multitier architecture that has become the industry standard for building scalable client-server applications. A client com...
Ningfang Mi, Ludmila Cherkasova, Kivanc M. Ozonat,...
WACV
2007
IEEE
14 years 3 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Raghav Subbarao, Yakup Genc, Peter Meer