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CVPR
2007
IEEE
16 years 1 months ago
Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description
Two major limitations of real-time visual SLAM algorithms are the restricted range of views over which they can operate and their lack of robustness when faced with erratic camera...
Denis Chekhlov, Mark Pupilli, Walterio W. Mayol-Cu...
ACML
2009
Springer
15 years 6 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
SRDS
2007
IEEE
15 years 6 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...
EOR
2008
70views more  EOR 2008»
14 years 12 months ago
Robust portfolio selection based on a multi-stage scenario tree
The aim of this paper is to apply the concept of robust optimization introduced by Bel-Tal and Nemirovski to the portfolio selection problems based on multi-stage scenario trees. ...
Ruijun Shen, Shuzhong Zhang
BMCBI
2006
187views more  BMCBI 2006»
14 years 12 months ago
Detecting outliers when fitting data with nonlinear regression - a new method based on robust nonlinear regression and the false
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
Harvey J. Motulsky, Ronald E. Brown