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» Converging on the Optimal Attainment of Requirements
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TIT
2002
99views more  TIT 2002»
13 years 8 months ago
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach
We consider a two-dimensional problem of positron emission tomography where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goa...
L. Cavalier, Ja-Yong Koo
ADCM
2010
59views more  ADCM 2010»
13 years 9 months ago
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
Christian Rieger, Barbara Zwicknagl
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 4 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...
WOWMOM
2005
ACM
82views Multimedia» more  WOWMOM 2005»
14 years 2 months ago
Power Control is not Required for Wireless Networks in the Linear Regime
— We consider the design of optimal strategies for joint power adaptation, rate adaptation and scheduling in a multi-hop wireless network. Most existing strategies control either...
Bozidar Radunovic, Jean-Yves Le Boudec
NIPS
2008
13 years 10 months ago
Fast Rates for Regularized Objectives
We study convergence properties of empirical minimization of a stochastic strongly convex objective, where the stochastic component is linear. We show that the value attained by t...
Karthik Sridharan, Shai Shalev-Shwartz, Nathan Sre...