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» A Minimax Chebyshev Estimator for Bounded Error Estimation
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COLT
2008
Springer
13 years 9 months ago
Adaptive Hausdorff Estimation of Density Level Sets
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
Aarti Singh, Robert Nowak, Clayton Scott
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 2 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
DAGSTUHL
2008
13 years 9 months ago
Distributed Bounded-Error Parameter and State Estimation in Networks of Sensors
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
Michel Kieffer
3DIM
2003
IEEE
14 years 1 months ago
Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data
The Cramer-Rao error bound provides a fundamental limit on the expected performance of a statistical estimator. The error bound depends on the general properties of the system, bu...
Tolga Tasdizen, Ross T. Whitaker