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» Robust binary least squares: Relaxations and algorithms
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CSDA
2007
75views more  CSDA 2007»
14 years 9 months ago
Robust counterparts of errors-in-variables problems
Of interest here are linear data fitting problems with uncertain data which lie in a given uncertainty set. A robust counterpart of such a problem may be interpreted as the probl...
G. A. Watson
INFORMATICALT
2000
101views more  INFORMATICALT 2000»
14 years 9 months ago
Closed-loop Robust Identification Using the Indirect Approach
In the previous paper (Pupeikis, 2000) the problem of closed-loop robust identification using the direct approach in the presence of outliers in observations have been considered. ...
Rimantas Pupeikis
ICRA
2003
IEEE
130views Robotics» more  ICRA 2003»
15 years 2 months ago
Direct plane tracking in stereo images for mobile navigation
— We present a novel plane tracking algorithm based on the direct update of surface parameters from two stereo images. The plane tracking algorithm is posed as an optimization pr...
Jason J. Corso, Darius Burschka, Gregory D. Hager
ICASSP
2010
IEEE
14 years 9 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SAC
2008
ACM
14 years 9 months ago
Local linear regression with adaptive orthogonal fitting for the wind power application
For short-term forecasting of wind generation, a necessary step is to model the function for the conversion of meteorological variables (mainly wind speed) to power production. Su...
Pierre Pinson, Henrik Aalborg Nielsen, Henrik Mads...