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» On Conditions for Linearity of Optimal Estimation
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TIT
2008
141views more  TIT 2008»
14 years 9 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
15 years 10 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
COLT
2008
Springer
14 years 11 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
CIDR
2009
152views Algorithms» more  CIDR 2009»
14 years 11 months ago
Visualizing the robustness of query execution
In database query processing, actual run-time conditions (e.g., actual selectivities and actual available memory) very often differ from compile-time expectations of run-time cond...
Goetz Graefe, Harumi A. Kuno, Janet L. Wiener
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
15 years 4 months ago
MPC for tracking with optimal closed-loop performance
— This paper deals with the tracking problem for constrained linear systems using a model predictive control (MPC) law. As it is well known, MPC provides a control law suitable f...
Antonio Ferramosca, Daniel Limón, Ignacio A...