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» Dual divergence estimators and tests: Robustness results
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MA
2011
Springer
285views Communications» more  MA 2011»
8 years 2 months ago
Dual divergence estimators and tests: Robustness results
The class of dual φ-divergence estimators (introduced in Broniatowski and Keziou (2009) [6]) is explored with respect to robustness through the influence function approach. For ...
Aida Toma, Michel Broniatowski
INFORMATICALT
2011
112views more  INFORMATICALT 2011»
8 years 2 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
IROS
2006
IEEE
137views Robotics» more  IROS 2006»
9 years 1 months ago
A Robust Docking Strategy for a Mobile Robot using Flow Field Divergence
— We present a robust strategy for docking a mobile robot in close proximity with an upright surface using optical flow field divergence. Unlike previous approaches, we achieve...
Chris McCarthy, Nick Barnes
BMCBI
2005
100views more  BMCBI 2005»
8 years 7 months ago
Scoredist: A simple and robust protein sequence distance estimator
Background: Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from ...
Erik L. L. Sonnhammer, Volker Hollich
PAMI
2008
203views more  PAMI 2008»
8 years 7 months ago
Free-Form Object Reconstruction from Silhouettes, Occluding Edges and Texture Edges: A Unified and Robust Operator Based on Dual
In this paper, the duality in differential form is developed between a 3D primal surface and its dual manifold formed by the surface's tangent planes, i.e., each tangent plan...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel, Dav...
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