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» A Minimax Chebyshev Estimator for Bounded Error Estimation
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CORR
2011
Springer
148views Education» more  CORR 2011»
13 years 4 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
14 years 2 months ago
Trajectory generation for constant velocity target motion estimation using monocular vision
- The performance of monocular vision based target tracking is a strong function of camera motion. Without motion, the target estimation problem is unsolvable. By designing the cam...
Eric W. Frew, Stephen M. Rock
AMC
2007
116views more  AMC 2007»
13 years 9 months ago
Convergence of HLS estimation algorithms for multivariable ARX-like systems
A hierarchical least squares (HLS) algorithm is derived in details for identifying MIMO ARX-like systems based on the hierarchical identification principle. It is shown that the ...
Lingyun Wang, Feng Ding, Peter X. Liu
ECCC
2006
134views more  ECCC 2006»
13 years 9 months ago
Derandomizing the AW matrix-valued Chernoff bound using pessimistic estimators and applications
Ahlswede and Winter [AW02] introduced a Chernoff bound for matrix-valued random variables, which is a non-trivial generalization of the usual Chernoff bound for real-valued random...
Avi Wigderson, David Xiao
JMLR
2012
11 years 11 months ago
Robust Multi-task Regression with Grossly Corrupted Observations
We consider the multiple-response regression problem, where the response is subject to sparse gross errors, in the high-dimensional setup. We propose a tractable regularized M-est...
Huan Xu, Chenlei Leng