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JAT
2006
64views more  JAT 2006»
15 years 6 months ago
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Opposed to linear schemes, nonlinear function approximation allows to obtain a dimension independent rate of convergence. Unfortunately, in the presence of data noise typical algo...
Andreas Hofinger
ALGORITHMICA
1999
102views more  ALGORITHMICA 1999»
15 years 6 months ago
Approximating Latin Square Extensions
In this paper, we consider the following question: what is the maximum number of entries that can be added to a partially lled latin square? The decision version of this question ...
Ravi Kumar, Alexander Russell, Ravi Sundaram
IPMI
2007
Springer
16 years 7 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
STOC
2003
ACM
140views Algorithms» more  STOC 2003»
16 years 6 months ago
Approximation schemes for clustering problems
We present a general approach for designing approximation algorithms for a fundamental class of geometric clustering problems in arbitrary dimensions. More specifically, our appro...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
CDC
2008
IEEE
16 years 1 months ago
Equivalence between Approximate Dynamic Inversion and Proportional-Integral control
—Approximate Dynamic Inversion (ADI) has been established as a method to control minimum-phase, nonaffine-incontrol systems. Previous results have shown that for single-input no...
Justin Teo, Jonathan P. How