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TSP
2008
166views more  TSP 2008»
14 years 11 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 2 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman
ICPR
2002
IEEE
15 years 4 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
ICRA
2010
IEEE
121views Robotics» more  ICRA 2010»
14 years 10 months ago
On the global optimum of planar, range-based robot-to-robot relative pose estimation
Abstract— In this paper, we address the problem of determining the relative position and orientation (pose) of two robots navigating in 2D, based on known egomotion and noisy rob...
Nikolas Trawny, Stergios I. Roumeliotis
ICML
2009
IEEE
16 years 19 days ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng