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» Robust binary least squares: Relaxations and algorithms
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VISAPP
2007
14 years 10 months ago
Simultaneous robust fitting of multiple curves
In this paper, we address the problem of robustly recovering several instances of a curve model from a single noisy data set with outliers. Using M-estimators revisited in a Lagran...
Jean-Philippe Tarel, Pierre Charbonnier, Sio-Song ...
DATAMINE
2006
127views more  DATAMINE 2006»
14 years 9 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
ICRA
2005
IEEE
125views Robotics» more  ICRA 2005»
15 years 3 months ago
A Robust Localization Algorithm for Mobile Robots with Laser Range Finders
– We present a robust localization algorithm for mobile robots with laser range finders, which takes featurebased approach for reliable matching process as well as pointbased app...
Hee Jin Sohn, Byung Kook Kim
ADAC
2008
193views more  ADAC 2008»
14 years 9 months ago
A constrained-optimization based half-quadratic algorithm for robustly fitting sets of linearly parametrized curves
We consider the problem of multiple fitting of linearly parametrized curves, that arises in many computer vision problems such as road scene analysis. Data extracted from images us...
Jean-Philippe Tarel, Sio-Song Ieng, Pierre Charbon...
ICC
2007
IEEE
160views Communications» more  ICC 2007»
15 years 3 months ago
Robust Statistics Based Expectation-Maximization Algorithm for Channel Tracking in OFDM Systems
— Decision directed channel tracking (DDCT) at high fade rates in OFDM based systems is addressed in this paper. Existing DDCT algorithms like the expectation-maximization (EM) a...
Sheetal Kalyani, Krishnamurthy Giridhar